Analyst Perspectives

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IBM Planning Analytics with Watson is a comprehensive, cloud-based business planning application that supports what Ventana Research calls integrated business planning. We coined this term in 2007 to describe a high-participation approach to business planning that integrates strategy, operations and finance. Our Next Generation Business Planning Benchmark Research demonstrated the value of IBP: Organizations that link planning processes get better results. Sixty-six percent of organizations...

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Topics: Predictive Analytics, Office of Finance, embedded analytics, Business Intelligence, Business Planning, Financial Performance Management, Watson, Digital transformation, AI and Machine Learning

People analytics is a specific focus in Human Capital Management (HCM) that enables organizations to have data-driven insights that optimize the impact and value of the workforce. These analytics are essential for addressing a broad scope of HCM objectives, but while reducing compliance risks and highlighting demographic trends have dominated the people analytics landscape for decades, various technology-related advances have paved the way for these data insights to become more actionable,...

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Topics: Predictive Analytics, Workforce Analytics, HR Analytics

The use of blockchain distributed ledgers in business processes is now a common theme in many business software vendors’ presentations. The technology has a multitude of potential uses. However, presentations about the opportunities for digital transformation always leave me wondering: How is this magic going to happen? I wonder this because the details about how data flows from point A to point B via a blockchain are critically important to blockchain utility and therefore the pace of its...

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Topics: Planning, Predictive Analytics, Forecast, FP&A, Machine Learning, Reporting, budget, Budgeting, Continuous Planning, Analytics, Data Management, Cognitive Computing, Integrated Business Planning, AI, forecasting, consolidating

Ventana Research uses the term “predictive finance” to describe a forward-looking, action-oriented finance organization that places emphasis on advising its company rather than fulfilling the traditional roles of a transactions processor and reporter. Technology is driving the shift away from the traditional bean-counting role. The cumulative evolution of software advances will substantially reduce finance and accounting workloads by automating most of the mechanical, rote functions in...

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Topics: Planning, Predictive Analytics, Forecast, FP&A, Machine Learning, Reporting, budget, Budgeting, Continuous Planning, Analytics, Data Management, Cognitive Computing, Integrated Business Planning, AI

The treasury function in finance departments doesn’t get a lot of attention, but it’s a fundamentally important one: to ensure that all funds are accounted for and that there is sufficient cash on hand each day to meet operating requirements. Keeping track of and managing cash, especially in larger organizations, can be complicated because of multiple bank accounts, complex financing requirements and various methods of receiving and making payments; the complexity deepens when more than one...

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Topics: Predictive Analytics, Office of Finance, credit, debt, Analytics, CFO, cash management, controller, Financial Performance Management

I recently spent time at Strata+Hadoop World 2016 in New York. I attended this event and its predecessor, Hadoop World, off and on for the past six years. This one in New York had a different feel from previous events including the most recent event in San Jose at the end of March. Perhaps because of its location in one of the financial and commercial hubs of the world, the event had much more of a business orientation. But it’s not just location. Past events have been held in New York also,...

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Topics: Big Data, Predictive Analytics, Strata+Hadoop

I recently attended Oracle OpenWorld for the first time in several years. The message at this year’s event was clear: Oracle is all in on the cloud. I had heard the message, but I didn’t get the full impact until I arrived at the Moscone Center in San Francisco. All signage at the event contained the word “cloud,” and Oracle issued 18 press releases in conjunction with OpenWorld related to cloud computing. I also found out that Oracle has its own definition of “cloud.”

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Topics: Big Data, Predictive Analytics, Business Analytics, Business Intelligence, Cloud Computing, Information Management

Teradata recently held its annual Partners conference, at which gather several thousand customers and partners from around the world. This was the first Partners event since Vic Lund was appointed president and CEO in May. Year on year, Teradata’s revenues are down about 5 percent, which likely prompted some changes at the company. Over the past few years Teradata made several technology acquisitions and perhaps spread its resources too thin. At the event, Lund committed the company to a focus...

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Topics: Big Data, Predictive Analytics, Business Analytics, Business Intelligence, Cloud Computing, Information Management

Predictive analytics is a rewarding yet challenging subject. In our benchmark research on next-generation predictive analytics at least half the participants reported that predictive analytics allows them to achieve competitive advantage (57%) and create new revenue opportunities (50%). Yet even more participants said that users of predictive analytics don’t have enough skills training to produce their own analyses (79%) and don’t understand the mathematics involved (66%). (In the term...

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Topics: Big Data, Data Science, Predictive Analytics, Business Analytics, Business Intelligence, Business Performance, Cloud Computing

There were two noteworthy themes in SAP CEO Bill McDermott’s keynote at this year’s Sapphire conference. One was customer assurance; that is, placing greater emphasis on making the implementation of even complex business software more predictable and less of an effort. This theme reflects the maturing of the enterprise applications business as it transitions from producing highly customized software to providing configurable, off-the-rack purchases. Implementing ERP will never be simple, as I...

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Topics: Predictive Analytics, Sales Performance, SAP, Supply Chain Performance, Customer Performance, Business Performance, Financial Performance, Uncategorized

If you’re a sales or marketing executive or manager, your window of business opportunity is closing rapidly. In fact it started closing the day you began your job. Time is not on your side – and your career may well hang in the balance. I want to help you shift that balance to your advantage.

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Topics: Big Data, Predictive Analytics, Sales Performance, Social Media, Mobile Technology, Business Analytics, Business Collaboration, Business Performance, Cloud Computing, Uncategorized, Sales, Marketing, Sales Performance Management, Ma

It has been more than five years since James Dixon of Pentaho coined the term “data lake.” His original post suggests, “If you think of a data mart as a store of bottled water – cleansed and packaged and structured for easy consumption – the data lake is a large body of water in a more natural state.” The analogy is a simple one, but in my experience talking with many end users there is still mystery surrounding the concept. In this post I’d like to clarify what a data lake is, review the...

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Topics: Big Data, Predictive Analytics, Social Media, Business Analytics, Business Intelligence, Governance, Risk & Compliance (GRC), Information Management, Uncategorized, Information Optimization

The emerging Internet of Things (IoT) is an extension of digital connectivity to devices and sensors in homes, businesses, vehicles and potentially almost anywhere. This innovation means that virtually any device can generate and transmit data about its operations – data to which analytics can be applied to facilitate monitoring and a range of automatic functions. To do these tasks IoT requires what Ventana Research calls operational intelligence (OI), a discipline that has evolved from the...

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Topics: Big Data, Predictive Analytics, Supply Chain Performance, IOT, OperationalIntelligence, Real-time, Operational Intelligence, Uncategorized

I hope this title captures your attention; I’m trying to make a point about the chaos going on in managing and operating marketing. What marketing needs in 2016 is to manage and optimize its efforts in a more unified manner. This perspective kicks off a new series on the challenges for marketing to automate or execute tasks and manage toward maximum performance. We all know that the craft of marketing is in need of significant transformation, from the CMO throughout the entire marketing...

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Topics: Big Data, Predictive Analytics, Social Media, Customer Performance, Business Analytics, Business Collaboration, Business Intelligence, Business Performance, Cloud Computing, Financial Performance, Information Applications, Operational Intelligence, Uncategorized, CMO, Information Optimization, Sales Performance Management (SPM)

For several years I have been advocating that sales organizations adapt their processes and applications to optimize both sales performance and the customer experience. For details see my research agenda for last year. However, it appears that not many sales organizations have responded to this challenge; many can barely maintain their quarterly sales forecasts and monthly pipeline, track progress toward quotas and ensure that sales commissions are processed promptly and paid accurately. A...

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Topics: Predictive Analytics, Sales Performance, Mobile Technology, Customer Performance, Operational Performance, Business Analytics, Business Collaboration, Business Performance, Cloud Computing, Financial Performance, Uncategorized, Financial Performance Management (FPM), Sales, SFA, SPM, Sales Performance Management, Sal

Businesses and their human resource organizations feel pressure to maximize the value of their human capital in today’s intensely competitive world. Many have made or considered investments in new applications that better exploit information to efficiently recruit, engage and retain the best talent. Advanced applications not only advance these processes but also help management assess the performance of the workforce and compensate individuals fairly so that they advance their careers and find...

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Topics: Big Data, Predictive Analytics, Governance, HCM, HR, HRMS, Workforce Management, Learning Mana, Human Capital, Mobile Technology, Wearable Computing, Customer Performance, Business Analytics, Business Collaboration, Business Performance, Cloud Computing, Financial Performance, Governance, Risk & Compliance (GRC), Information Management, Uncategorized, Financial Performance Management (FPM)

I recently attended the SAS Analyst Summit in Steamboat Springs, Colo. (Twitter Hashtag #SASSB) The event offers an occasion for the company to discuss its direction and to assess its strengths and potential weaknesses. SAS is privately held, so customers and prospects cannot subject its performance to the same level of scrutiny as public companies, and thus events like this one provide a valuable source of additional information.

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Topics: Big Data, Predictive Analytics, Business Analytics, Business Collaboration, Business Intelligence, Business Performance, Information Applications, Information Management, Uncategorized

Technology innovation is accelerating faster than companies can keep up with. Many feel pressure to adopt new strategies that technology makes possible and find the resources required for necessary investments. In 2015 our research and analysis revealed many organizations upgrading key business applications to operate in the cloud and some enabling access to information for employees through mobile devices. Despite these steps, we find significant levels of digital disruption impacting every...

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Topics: Big Data, Predictive Analytics, Sales Performance, Supply Chain Performance, Governance, Mobile Technology, Operational Performance Management (OPM), Customer Performance, Operational Performance, Analytics, Business Analytics, Business Collaboration, Business Intelligence, Business Performance, Cloud Computing, Financial Performance, Governance, Risk & Compliance (GRC), Information Applications, Information Management, Location Intelligence, Operational Intelligence, Uncategorized, Workforce Performance, Business Performance Management (BPM), Financial Performance Management (FPM), Information Optimization, Sales Performance Management (SPM)

Last week I attended Spark Summit East 2016 at the New York Hilton Midtown. It revealed several ways in which Spark technology might impact the big data market.

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Topics: Big Data, Predictive Analytics, Business Analytics, Business Intelligence, Information Applications, Information Management, Operational Intelligence, Uncategorized

Using information technology to make data useful is as old as the Information Age. The difference today is that the volume and variety of available data has grown enormously. Big data gets almost all of the attention, but there’s also cryptic data. Both are difficult to harness using basic tools and require new technology to help organizations glean actionable information from the large and chaotic mass of data. “Big data” refers to extremely large data sets that may be analyzed computationally...

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Topics: Big Data, Data Science, Planning, Predictive Analytics, Sales Performance, Social Media, Supply Chain Performance, FP&A, Human Capital, Marketing, Office of Finance, Operational Performance Management (OPM), Budgeting, Connotate, cryptic, equity research, Finance Analytics, Kofax, Statistics, Operational Performance, Analytics, Business Analytics, Business Performance, Financial Performance, Business Performance Management (BPM), Datawatch, Financial Performance Management (FPM), Kapow, Sales Performance Management (SPM)

The imperative to transform the finance department to function in a more strategic, forward-looking and action-oriented fashion has been a consistent theme of practitioners, consultants and business journalists for two decades. In all that time, however, most finance and accounting departments have not changed much. In our benchmark research on the Office of Finance, nine out of 10 participants said that it’s important or very important for finance departments to take a strategic role in...

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Topics: Big Data, Planning, Predictive Analytics, Social Media, Governance, GRC, Human Capital, Mobile Technology, Office of Finance, Budgeting, close, Continuous Accounting, Continuous Planning, end-to-end, Tax, Tax-Datawarehouse, Analytics, Business Analytics, Business Collaboration, Business Performance, CIO, Cloud Computing, Financial Performance, In-memory, Uncategorized, CFO, CPQ, Risk, CEO, Financial Performance Management, FPM

Throughout the course of our research in 2016, we’ll be exploring ways in which organizations can maximize the value of their data. Ventana Research believes that analytics is the engine and data is the fuel to power better business decisions. Several themes emerged from our benchmark research on incorporating data and analytics into organizational processes, and we will follow them in our 2016 Business Analytics Research Agenda:

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Topics: Big Data, Predictive Analytics, Mobile Technology, Analytics, Business Analytics, Business Collaboration, Business Intelligence, Cloud Computing, Information Management, Operational Intelligence, Information Optimization

Some followers of Ventana Research may recall my work here several years ago. Here and elsewhere I have spent most of my career in the data and analytics markets matching user requirements with technologies to meet those needs. I’m happy to be returning to Ventana Research to resume investigating ways in which organizations can make the most of their data to improve their business processes; for a first look, please see our 2016 research agenda on Big Data and Information Optimization. I relish...

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Topics: Big Data, Predictive Analytics, Analytics, Business Analytics, Business Intelligence, Information Management, Internet of Things, IOT, Operational Intelligence, Unicorns, Information Optimization

A new company has emerged in the market for real-time analytics software. Anodot came out of stealth mode in late 2015 with $3 million in funding. It is led by three founders: CEO David Drai, whose company Cotendo was acquired by networking company Akamai Technologies in 2012; Ira Cohen, chief data scientist, who previously held that position at Hewlett-Packard; and Shay Lang, who serves as VP of R&D. Unlike most vendors in the space, the company is delivering anomaly detection and operational...

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Topics: Big Data, Predictive Analytics, Operational Performance Management (OPM), Analytics, Business Analytics, Business Intelligence, Business Performance, Cloud Computing, Internet of Things, Operational Intelligence, Uncategorized

The emerging Internet of Things (IoT) extends digital connectivity to devices and sensors in homes, businesses, vehicles and potentially almost anywhere. This innovation enables devices designed for it to generate and transmit data about their operations; analytics using this data can facilitate monitoring and a range of automatic functions.

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Topics: Big Data, Predictive Analytics, Mobile Technology, Operational Performance, Analytics, Business Analytics, Business Intelligence, Business Performance, IOT, Operational Intelligence, Uncategorized

Splunk’s annual gathering, this year called .conf 2015, in late September hosted almost 4,000 Splunk customers, partners and employees. It is one of the fastest-growing user conferences in the technology industry. The area dedicated to Splunk partners has grown from a handful of booths a few years ago to a vast showroom floor many times larger. While the conference’s main announcement was the release of Splunk Enterprise 6.3, its flagship platform, the progress the company is making in the...

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Topics: Big Data, Predictive Analytics, Machine Learning, IT Analytics & Performance, Operational Performance, Plunk, Analytics, Business Analytics, Business Intelligence, Business Performance, Cloud Computing, Information Management, Internet of Things, Operational Intelligence, Data, Information Optimization

Whatever Oracle’s cloud strategy had been the past, this year’s OpenWorld conference and trade show made it clear that the company is now all in. In his keynote address, co-CEO Mark Hurd presented predictions for the world of information technology in 2025, when the cloud will be central to companies’ IT environments. While his forecast that two (unnamed) companies will account for 80 percent of the cloud software market 10 years from now is highly improbable, it’s likely that there will be...

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Topics: Microsoft, Predictive Analytics, Sales Performance, SAP, Supply Chain Performance, ERP, Human Capital, Mobile Technology, NetSuite, Office of Finance, Reporting, close, closing, Controller, dashboard, Tax, Customer Performance, Operational Performance, Analytics, Business Collaboration, Business Intelligence, Cloud Computing, Collaboration, IBM, Oracle, Business Performance Management (BPM), CFO, Data, finance, Financial Performance Management (FPM), Financial Performance Management, FPM, Intacct

The concept and implementation of what is called big data are no longer new, and many organizations, especially larger ones, view it as a way to manage and understand the flood of data they receive. Our benchmark research on big data analytics shows that business intelligence (BI) is the most common type of system to which organizations deliver big data. However, BI systems aren’t a good fit for analyzing big data. They were built to provide interactive analysis of structured data sources using...

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Topics: Big Data, Predictive Analytics, Software as a Service, IT Analytics & Performance, Operational Performance, Analytics, Business Analytics, Business Intelligence, Business Performance, Cloud Computing, Information Management, Operational Intelligence, Data, Information Optimization

One of the key findings in our latest benchmark research into predictive analytics is that companies are incorporating predictive analytics into their operational systems more often than was the case three years ago. The research found that companies are less inclined to purchase stand-alone predictive analytics tools (29% vs 44% three years ago) and more inclined to purchase predictive analytics built into business intelligence systems (23% vs 20%), applications (12% vs 8%), databases (9% vs...

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Topics: Big Data, Microsoft, Predictive Analytics, SAS, Social Media, alteryx, Customer Performance, Operational Performance, Analytics, Business Analytics, Business Intelligence, Business Performance, Operational Intelligence, Oracle, Information Optimization, SPSS, Rapidminer

Our benchmark research into predictive analytics shows that lack of resources, including budget and skills, is the number-one business barrier to the effective deployment and use of predictive analytics; awareness – that is, an understanding of how to apply predictive analytics to business problems – is second. In order to secure resources and address awareness problems a business case needs to be created and communicated clearly wherever appropriate across the organization. A business case...

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Topics: Big Data, Microsoft, Predictive Analytics, SAS, Social Media, alteryx, Customer Performance, Operational Performance, Analytics, Business Analytics, Business Intelligence, Operational Intelligence, Oracle, Information Optimization, SPSS, Rapidminer

Our research into next-generation predictive analytics shows that along with not having enough skilled resources, which I discussed in my previous analysis, the inability to readily access and integrate data is a primary reason for dissatisfaction with predictive analytics (in 62% of participating organizations). Furthermore, this area consumes the most time in the predictive analytics process: The research finds that preparing data for analysis (40%) and accessing data (22%) are the parts of...

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Topics: Big Data, Microsoft, Predictive Analytics, alteryx, Customer Performance, Operational Performance, Analytics, Business Analytics, Business Intelligence, Business Performance, Operational Intelligence, Oracle, Information Optimization

The Performance Index analysis we performed as part of our next-generation predictive analytics benchmark research shows that only one in four organizations, those functioning at the highest Innovative level of performance, can use predictive analytics to compete effectively against others that use this technology less well. We analyze performance in detail in four dimensions (People, Process, Information and Technology), and for predictive analytics we find that organizations perform best in...

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Topics: Big Data, Microsoft, Predictive Analytics, alteryx, Operational Performance Management (OPM), Customer Performance, Analytics, Business Analytics, Business Intelligence, Business Performance, Location Intelligence, Oracle, Information Optimization

To impact business success, Ventana Research recommends viewing predictive analytics as a business investment rather than an IT investment. Our recent benchmark research into next-generation predictive analytics reveals that since our previous research on the topic in 2012, funding has shifted from general business budgets (previously 44%) to line of business IT budgets (previously 19%). Now more than half of organizations fund such projects from business budgets: 29 percent from general...

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Topics: Big Data, Microsoft, Predictive Analytics, alteryx, Customer Performance, Analytics, Business Analytics, Business Intelligence, Operational Intelligence, Oracle, Business Performance Management (BPM), Rapidminer

Our recently released benchmark research into next-generation predictive analytics shows that in this increasingly important area many organizations are moving forward in the dimensions of information and technology, but most are challenged to find people with the right skills and to align organizational processes to derive business value from predictive analytics.

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Topics: Big Data, Predictive Analytics, alteryx, Customer Performance, Analytics, Business Analytics, Business Intelligence, Business Performance, Operational Intelligence

Our benchmark research on next-generation business planning finds that a large majority of companies rely on spreadsheets to manage planning processes. For example, four out of five use them for supply chain planning, and about two-thirds for budgeting and sales forecasting. Spreadsheets are the default choice for modeling and planning because they are flexible. They adapt to the needs of different parts of any type of business. Unfortunately, they have inherent defects that make them...

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Topics: Planning, Predictive Analytics, Marketing Planning, Reporting, Sales Forecasting, Budgeting, Customer Performance, Operational Performance, Analytics, Business Analytics, Business Collaboration, Business Performance, Financial Performance, Business Planning, Demand Planning, Integrated Business Planning

Unit4 is a global business software vendor focused on business and professional services, the public sector and higher education. Recently company executives met with industry analysts to provide an update of its strategic roadmap and to recap its accomplishments since being acquired by a private equity firm in 2014. Unit4 is the result of successive mergers of ERP and business software companies, notably CODA and Agresso. The company is also a part-owner (with salesforce.com and others) of...

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Topics: Predictive Analytics, Human Capital, Office of Finance, Operational Performance, Business Analytics, Business Collaboration, Business Performance, Cloud Computing, Financial Performance

IBM’s Vision user conference brings together customers who use its software for financial and sales performance management (FPM and SPM, respectively) as well as governance, risk management and compliance (GRC). Analytics is a technology that can enhance each of these activities. The recent conference and many of its sessions highlighted IBM’s growing emphasis on making more sophisticated analytics easier to use by – and therefore more useful to – general business users and their organizations....

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Topics: Big Data, Planning, Predictive Analytics, Governance, Human Capital, Budgeting, Customer Performance, Operational Performance, Analytics, Business Analytics, Business Performance, Cloud Computing, Financial Performance, Visualization

Adaptive Insights held its annual user group meeting recently. A theme sounded in several keynote sessions was the importance of finance departments playing a more strategic role in their companies. Some participating customers described how they have evolved their planning process from being designed mainly to meet the needs of the finance department into a useful tool for managing the entire business. Their path took them from doing basic financial budgeting to planning focused on improving...

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Topics: Planning, Predictive Analytics, Human Capital, Marketing, Reporting, Sales Forecasting, Budgeting, Customer Performance, Operational Performance, Analytics, Business Analytics, Business Collaboration, Business Performance, Financial Performance, Business Planning, Supply Chain, Demand Planning, Integrated Business Planning, Project Planning

Ventana Research recently completed the most comprehensive evaluation of analytics and business intelligence products and vendors available anywhere. As I discussed recently, such research is necessary and timely as analytics and business intelligence is now a fast-changing market. Our Value Index for Analytics and Business Intelligence in 2015 scrutinizes 15 top vendors and their product offerings in seven key categories: Usability, Manageability, Reliability, Capability, Adaptability, Vendor...

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Topics: Big Data, Data Quality, Predictive Analytics, Gartner, Governance, Customer Performance, Analytics, Business Analytics, Business Intelligence, Business Performance, Cloud Computing, Information Applications, Information Management, Operational Intelligence, Value Index, Strata+Hadoop

Just a few years ago, the prevailing view in the software industry was that the category of business intelligence (BI) was mature and without room for innovation. Vendors competed in terms of feature parity and incremental advancements of their platforms. But since then business intelligence has grown to include analytics, data discovery tools and big data capabilities to process huge volumes and new types of data much faster. As is often the case with change, though, this one has created...

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Topics: Big Data, Data Quality, Predictive Analytics, Gartner, Customer Performance, Analytics, Business Analytics, Business Intelligence, Business Performance, Cloud Computing, Information Applications, Information Management, Value Index, Strata+Hadoop

It’s stating the obvious to say that how well executives manage planning processes has a big impact on how well a business unit or company plans. However, one significant source of the value of our benchmark research is that it establishes hard evidence – the numbers – that transforms mere assertions into proof points. This is particularly important when people within an organization want to improve a process. Change management is facilitated by providing senior executives with facts to back up...

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Topics: Big Data, Predictive Analytics, Sales, Sales Performance, Supply Chain Performance, Marketing, Customer Performance, Operational Performance, Business Analytics, Business Performance, Cloud Computing, Financial Performance, Supply Chain, S&OP

In many organizations, advanced analytics groups and IT are separate, and there often is a chasm of understanding between them, as I have noted. A key finding in our benchmark research on big data analytics is that communication and knowledge sharing is a top benefit of big data analytics initiatives, but often it is a latent benefit. That is, prior to deployment, communication and knowledge sharing is deemed a marginal benefit, but once the program is deployed it is deemed a top benefit. From...

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Topics: Big Data, Predictive Analytics, Sales Performance, Supply Chain Performance, alpine data labs, Customer Performance, Operational Performance, Analytics, Business Analytics, Business Intelligence, Business Performance, Financial Performance, Strata+Hadoop

Ventana Research recently released the results of our Next-Generation Business Planning benchmark research. Business planning encompasses all of the forward-looking activities in which companies routinely engage. The research examined 11 of the most common types of enterprise planning: capital, demand, marketing, project, sales and operations, strategic, supply chain and workforce planning, as well as sales forecasting and corporate and IT budgeting. We also aggregated the results to draw...

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Topics: Big Data, Planning, Predictive Analytics, Sales, Sales Performance, Social Media, Supply Chain Performance, Human Capital Management, Marketing, Office of Finance, Reporting, Budgeting, Controller, Customer Performance, Operational Performance, Business Analytics, Business Performance, Cloud Computing, Financial Performance, In-memory, Workforce Performance, CFO, Supply Chain, capital spending, demand management, Financial Performance Management, financial reporting, FPM, Integrated Business Planning, S&OP

Big data has become a big deal as the technology industry has invested tens of billions of dollars to create the next generation of databases and data processing. After the accompanying flood of new categories and marketing terminology from vendors, most in the IT community are now beginning to understand the potential of big data. Ventana Research thoroughly covered the evolving state of the big data and information optimization sector in 2014 and will continue this research in 2015 and...

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Topics: Big Data, MapR, Predictive Analytics, Sales Performance, SAP, Supply Chain Performance, Human Capital, Marketing, Mulesoft, Paxata, SnapLogic, Splunk, Customer Performance, Operational Performance, Business Analytics, Business Intelligence, Business Performance, Cloud Computing, Cloudera, Financial Performance, Hortonworks, IBM, Informatica, Information Management, Operational Intelligence, Oracle, Datawatch, Dell Boomi, Information Optimization, Savi, Sumo Logic, Tamr, Trifacta, Strata+Hadoop

Business planning includes all of the forward-looking activities in which companies routinely engage. Companies do a great deal of planning. They plan sales and determine what and how they will produce products or deliver services. They plan the head count they’ll need and how to organize distribution and their supply chain. They also produce a budget, which is a financial plan. The purpose of planning is to be successful. Planning is defined as the process of creating a detailed formulation of...

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Topics: Big Data, Planning, Predictive Analytics, Sales Performance, Supply Chain Performance, Human Capital, Marketing, Office of Finance, Reporting, Sales Forecasting, Budgeting, Operational Performance, Analytics, Business Analytics, Business Collaboration, Business Performance, Customer & Contact Center, Financial Performance, Business Planning, Supply Chain, Demand Planning, Integrated Business Planning, Project Planning, S&OP

Last year Ventana Research released our Office of Finance benchmark research. One of the objectives of the project was to assess organizations’ progress in achieving “finance transformation.” This term denotes shifting the focus of CFOs and finance departments from transaction processing toward more strategic, higher-value functions. In the research nine out of 10 participants said that it’s important or very important for the department to take a more strategic role. This objective is both...

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Topics: Big Data, Planning, Predictive Analytics, Governance, GRC, Office of Finance, Budgeting, close, end-to-end, Tax, Tax-Datawarehouse, Analytics, Business Performance, CIO, Financial Performance, In-memory, CFO, CPQ, Risk, CEO, Financial Performance Management, FPM

Our recently published Office of Finance benchmark research assesses a broad set of functions and capabilities of finance organizations. We asked research participants to identify the most important issues for a finance department to address in a dozen functional areas: accounting, budgeting, cost accounting, customer profitability management, external financial reporting, financial analysis, financial governance and internal audit, management accounting, product profitability management,...

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Topics: Mobile, Planning, Predictive Analytics, ERP, FP&A, Office of Finance, Reporting, Self-service, Budgeting, close, closing, computing, Controller, dashboard, Tax, Analytics, Business Intelligence, Business Performance, Cloud Computing, Collaboration, Financial Performance, CFO, Data, finance, Financial Performance Management, FPM, Microsoft Excel, Spreadsheets

In 2014, IBM announced Watson Analytics, which uses machine learning and natural language processing to unify and simplify the user experience in each step of the analytic processing: data acquisition, data preparation, analysis, dashboarding and storytelling. After a relatively short beta testing period involving more than 22,000 users, IBM released Watson Analytics for general availability in December. There are two editions: the “freemium” trial version allows 500MB of data storage and...

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Topics: Data Visualization, Predictive Analytics, Operational Performance, Analytics, Business Analytics, Business Intelligence, Business Performance, Cloud Computing, Customer & Contact Center, Information Applications, Information Management, Data Discovery, Watson

Finance transformation” refers to a longstanding objective: shifting the focus of CFOs and finance departments from transaction processing to more strategic, higher-value functions. Our upcoming Office of Finance benchmark research confirms that most of organizations want their finance department to take a more strategic role in management of the company: nine in 10 participants said that it’s important or very important. (We are using “finance” in its broadest sense, including, for example,...

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Topics: Big Data, Mobile, Performance Management, Predictive Analytics, Social Media, ERP, FP&A, Office of Finance, Reporting, Management, close, closing, computing, Controller, Tax, Analytics, Business Analytics, Business Collaboration, Business Performance, Cloud Computing, Collaboration, Financial Performance, CFO, finance, Tagetik, FPM

Finance and accounting departments are staffed with numbers-oriented, naturally analytical people. Strong analytic skills are essential if a finance department is to deliver deep insights into performance and visibility into emerging opportunities and challenges. The conclusions of analyses enable fast, fully informed business decisions by executives and managers. Conversely, flawed analyses undermine the performance of a company. So it was good news that in our Office of Finance benchmark...

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Topics: Big Data, Mobile, Planning, Predictive Analytics, ERP, FP&A, Office of Finance, Reporting, Self-service, Budgeting, close, closing, computing, Controller, dashboard, Tax, Analytics, Business Analytics, Business Intelligence, Business Performance, Cloud Computing, Collaboration, Financial Performance, CFO, Data, finance, Tagetik, Financial Performance Management, FPM, Microsoft Excel, Spreadsheets

“What’s next?” is the perennially insistent question in information technology. One common observation about the industry holds that cycles of innovation alternate between hardware and software. New types and forms of hardware enable innovations in software that utilize the power of that hardware. These innovations create new markets, alter consumer behavior and change how work is performed. This, in turn, sets the stage for new types and forms of hardware that complement these emerging product...

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Topics: Mobile, Performance Management, Predictive Analytics, Sales Performance, Supply Chain Performance, ERP, Office of Finance, Reporting, Wearable Computing, Management, close, closing, computing, Operational Performance, Analytics, Business Analytics, Business Collaboration, Business Performance, Cloud Computing, Financial Performance, Workforce Performance, finance, FPM

Our benchmark research consistently shows that business analytics is the most significant technology trend in business today and acquiring effective predictive analytics is organizations’ top priority for analytics. It enables them to look forward rather than backward and, participate organizations reported, leads to competitive advantage and operational efficiencies.

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Topics: Big Data, Predictive Analytics, Sales Performance, Statistics, IT Performance, Operational Performance, Analytics, Business Analytics, Business Collaboration, Business Intelligence, Business Performance, Cloud Computing, Customer & Contact Center, Data Integration, Financial Performance, Governance, Risk & Compliance (GRC), Information Applications, Information Management, Location Intelligence, Operational Intelligence, Workforce Performance

The developed world has an embarrassment of riches when it comes to information technology. Individuals walk around with far more computing power and data storage in their pockets than was required to send men to the moon. People routinely hold on their laps what would have been considered a supercomputer a generation ago. There is a wealth of information available on the Web. And the costs of these information assets are a tiny fraction of what they were decades ago. Consumer products have...

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Topics: Big Data, Mobile, Predictive Analytics, Sales Performance, Social Media, Customer Experience, Performance, Operational Performance, Analytics, Business Analytics, Business Collaboration, Business Intelligence, Business Performance, Customer & Contact Center, Financial Performance, IBM, finance, Sales Performance Management, Social, Financial Performance Management, SPSS

Our research consistently finds that data issues are a root cause of many problems encountered by modern corporations. One of the main causes of bad data is a lack of data stewardship – too often, nobody is responsible for taking care of data. Fixing inaccurate data is tedious, but creating IT environments that build quality into data is far from glamorous, so these sorts of projects are rarely demanded and funded. The magnitude of the problem grows with the company: Big companies have more...

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Topics: Big Data, Planning, Predictive Analytics, Governance, Office of Finance, Budgeting, close, Finance Analytics, Tax, Operational Performance, Analytics, Business Analytics, Business Intelligence, Business Performance, CIO, Financial Performance, Governance, Risk & Compliance (GRC), In-memory, Information Applications, CFO, Risk, CEO, Financial Performance Management, FPM

Organizations should consider multiple aspects of deploying big data analytics. These include the type of analytics to be deployed, how the analytics will be deployed technologically and who must be involved both internally and externally to enable success. Our recent big data analytics benchmark research assesses each of these areas. How an organization views these deployment considerations may depend on the expected benefits of the big data analytics program and the particular business case...

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Topics: Big Data, Predictive Analytics, Sales Performance, Social Media, Supply Chain Performance, IT Performance, Operational Performance, Analytics, Business Analytics, Business Collaboration, Business Intelligence, Business Performance, Cloud Computing, Customer & Contact Center, Financial Performance, Operational Intelligence, Workforce Performance, Strata+Hadoop

Business computing has undergone a quiet revolution over the past two decades. As a result of having added, one-by-one, applications that automate all sorts of business processes, organizations now collect data from a wider and deeper array of sources than ever before. Advances in the tools for analyzing and reporting the data from such systems have made it possible to assess financial performance, process quality, operational status, risk and even governance and compliance in every aspect of a...

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Topics: Big Data, Planning, Predictive Analytics, Governance, Office of Finance, Budgeting, close, Finance Analytics, Tax, Analytics, Business Analytics, Business Intelligence, Business Performance, CIO, Financial Performance, Governance, Risk & Compliance (GRC), In-memory, Information Management, CFO, Risk, CEO, Financial Performance Management, FPM

SAP recently presented its analytics and business intelligence roadmap and new innovations to about 1,700 customers and partners using SAP BusinessObjects at its SAP Insider event (#BI2014). SAP has one of the largest presences in business intelligence due to its installed base of SAP BusinessObjects customers. The company intends to defend its current position in the established business intelligence (BI) market while expanding in the areas of databases, discovery analytics and advanced...

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Topics: Predictive Analytics, SAP, Business Objects, IT Performance, Analytics, Business Analytics, Business Intelligence, Business Performance, Customer & Contact Center, KXEN, Operational Intelligence, HANA, Lumira, SAP insider

Anaplan, a provider of cloud-based business planning software for sales, operations, and finance and administration departments, recently implemented its new Winter ’14 Release for customers. This release builds on my colleagues analysis on their innovation in business modeling and planning in 2013. Anaplan’s primary objective is to give companies a workable alternative to spreadsheets for business planning. It is a field in which opportunity exists. Our benchmark research on this topic finds...

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Topics: Big Data, Performance Management, Planning, Predictive Analytics, Sales Performance, Supply Chain Performance, Marketing, Office of Finance, Operations, Reporting, Budgeting, Controller, Operational Performance, Business Analytics, Business Performance, Cloud Computing, Financial Performance, In-memory, Workforce Performance, CFO, Sales Planning, Financial Performance Management, financial reporting, FPM, Integrated Business Planning

SAS Institute, a long-established provider analytics software, showed off its latest technology innovations and product road maps at its recent analyst conference. In a very competitive market, SAS is not standing still, and executives showed progress on the goals introduced at last year’s conference, which I covered. SAS’s Visual Analytics software, integrated with an in-memory analytics engine called LASR, remains the company’s flagship product in its modernized portfolio. CEO Jim Goodnight...

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Topics: Predictive Analytics, IT Performance, LASR, Operational Performance, Analytics, Business Analytics, Business Intelligence, Business Performance, Cloudera, Customer & Contact Center, Hortonworks, IBM, Information Applications, SAS institute, Strata+Hadoop

We recently released our benchmark research on big data analytics, and it sheds light on many of the most important discussions occurring in business technology today. The study’s structure was based on the big data analytics framework that I laid out last year as well as the framework that my colleague Mark Smith put forth on the four types of discovery technology available. These frameworks view big data and analytics as part of a major change that includes a movement from designed data to...

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Topics: Big Data, Pentaho, Predictive Analytics, Sales Performance, Supply Chain Performance, IT Performance, Operational Performance, Analytics, Business Analytics, Business Intelligence, Business Performance, Cloud Computing, Customer & Contact Center, Financial Performance, Information Applications, Information Management, Location Intelligence, Operational Intelligence, Workforce Performance, Datawatch

Many businesses are close to being overwhelmed by the unceasing growth of data they must process and analyze to find insights that can improve their operations and results. To manage this big data they find a rapidly expanding portfolio of technology products. A significant vendor in this market is SAS Institute. I recently attended the company’s annual analyst summit, Inside Intelligence 2014 (Twitter Hashtag #SASSB). SAS reported more than $3 billion in software revenue for 2013 and is known...

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Topics: Big Data, Predictive Analytics, SAS, Event Stream, Operational Performance, Analytics, Business Analytics, Business Intelligence, Business Performance, CIO, Customer & Contact Center, Data Management, Information Applications, Information Management, Location Intelligence, Operational Intelligence, Discovery

The market for human capital analytics is in flux, as companies begin to evaluate and adopt more capable tools and processes for this area of human capital management. A look at the tools organizations are using and plan to use for human capital analytics provides an example of this change. Our recently published benchmark research on human capital analytics shows that nearly nine in 10 (87%) organizations are still using spreadsheets for human capital analytics while fewer than two in five...

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Topics: Big Data, Mobile, Predictive Analytics, Social Media, HCM, Analytics, Business Analytics, Business Collaboration, Business Intelligence, Business Performance, Cloud Computing, Collaboration, Financial Performance, Information Management, Workforce Performance

A core objective of my research practice and agenda is to help the Office of Finance improve its performance by better utilizing information technology. As we kick off 2014, I see five initiatives that CFOs and controllers should adopt to improve their execution of core finance functions and free up time to concentrate on increasing their department’s strategic value. Finance organizations – especially those that need to improve performance – usually find it difficult to find the resources to...

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Topics: Big Data, Performance Management, Planning, Predictive Analytics, Sales Performance, Supply Chain Performance, Office of Finance, Budgeting, close, dashboard, PRO, Tax, Analytics, Business Analytics, Business Collaboration, Business Performance, CIO, Customer & Contact Center, Financial Performance, In-memory, CFO, Supply Chain, CEO, demand management, Financial Performance Management, FPM, S&OP

Senior finance executives and finance organizations that want to improve their performance must recognize that technology is a key tool for doing high-quality work. To test this premise, imagine how smoothly your company would operate if all of its finance and administrative software and hardware were 25 years old. In almost all cases the company wouldn’t be able to compete at all or would be at a substantial disadvantage. Having the latest technology isn’t always necessary, but even though...

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Topics: Big Data, Planning, Predictive Analytics, Governance, GRC, Office of Finance, Budgeting, close, Tax, Analytics, Business Analytics, Business Collaboration, Business Performance, CIO, Cloud Computing, Financial Performance, Governance, Risk & Compliance (GRC), In-memory, CFO, Risk, CEO, Financial Performance Management, FPM

Like every large technology corporation today, IBM faces an innovator’s dilemma in at least some of its business. That phrase comes from Clayton Christensen’s seminal work, The Innovator’s Dilemma, originally published in 1997, which documents the dynamics of disruptive markets and their impacts on organizations. Christensen makes the key point that an innovative company can succeed or fail depending on what it does with the cash generated by continuing operations. In the case of IBM, it puts...

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Topics: Predictive Analytics, IT Performance, Analytics, Business Analytics, Business Intelligence, Business Performance, Customer & Contact Center, IBM, Information Applications, Data Discovery, Discovery, Information Discovery, SPSS

All the hubbub around big data and analytics has many senior finance executives wondering what the big deal is and what they should do about it. It can be especially confusing because much of what’s covered and discussed on this topic is geared toward technologists and others working outside of Finance, in areas such as sales, marketing and risk management. But finance executives need to position their organization to harness this technology to support the strategic goals of their company. To...

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Topics: Big Data, Performance Management, Predictive Analytics, Customer Experience, Fraud, Governance, GRC, Office of Finance, audit, Controller, Analytics, Business Analytics, Business Performance, Cloud Computing, Financial Performance, Governance, Risk & Compliance (GRC), Information Management, Operational Intelligence, CFO, compliance, finance, Risk, Financial Performance Management, financial risk management

While covering providers of business analytics software, it is also interesting for me to look at some that focus on the people, process and implementation aspects in big data and analytics. One such company is Nuevora, which uses a flexible platform to provide customized analytic solutions. I recently met the company’s founder, Phani Nagarjuna, when we appeared on a panel at the Predictive Analytics World conference in San Diego.

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Topics: Big Data, Predictive Analytics, IT Performance, Business Analytics, Business Intelligence, Business Performance, Customer & Contact Center, Information Applications, Strata+Hadoop

In our benchmark research on business technology innovation, organizations ranked analytics the number-one priority (for 39%) among six technology trends. Big data, perhaps because it is a more technical concept, ranked fifth, with 11 percent of organizations calling it a top innovation priority. But in this time of global business, nonstop communications and fierce competition, more organizations are finding that big data and analytics together can help them cope with constant change. They can...

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Topics: Big Data, Predictive Analytics, Human Capital, IT Research, Analytics, Business Analytics, Business Intelligence, Business Performance, Customer & Contact Center, Information Applications, Talent Management

Tidemark announced the release of the Fall 2013 version of its eponymous cloud-based application that my colleague assessed earlier in 2013. This new release adds capabilities for labor planning and expense management as well profitability modeling and analysis. These two areas of planning and analysis are common to all businesses. The new release adds features that enhance the software’s ability to do sales forecasting, initiative planning and IT department planning. The company continues to...

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Topics: Big Data, Performance Management, Planning, Predictive Analytics, Sales Performance, Supply Chain Performance, Office of Finance, Reporting, Controller, Operational Performance, Analytics, Business Performance, Cloud Computing, Customer & Contact Center, Financial Performance, In-memory, Workforce Performance, CFO, Tidemark, Financial Performance Management, financial reporting, FPM, Integrated Business Planning

Business planning is a new software category. These applications enable senior executives to integrate all the plans of business units into a single, integrated view, which helps them have more accurate plans, do more insightful what-if planning, achieve greater agility in reacting to changing business and economic conditions, and execute plans in a more coordinated fashion than was possible. Business planning software is intended for CEOs and COOs, who are not well served by current...

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Topics: Big Data, Performance Management, Planning, Predictive Analytics, Office of Finance, Reporting, Budgeting, Controller, Operational Performance, Business Analytics, Business Collaboration, Business Performance, Cloud Computing, Financial Performance, In-memory, Workforce Performance, CFO, Financial Performance Management, financial reporting, FPM, Integrated Business Planning

Business planning as practiced today is a relic, a process hemmed in by obsolete conceptions of what it should be. I use the term “business planning” to encompass all of the forward-looking activities in which companies routinely engage, including, for example, sales, production and head-count planning as well as budgeting. Companies need to take a fresh view of all these, adopting a new approach to business planning that while preserving continuity makes a substantial departure from what most...

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Topics: Big Data, Planning, Predictive Analytics, Sales Performance, Social Media, Supply Chain Performance, Office of Finance, Reporting, Budgeting, Controller, Operational Performance, Business Performance, Financial Performance, In-memory, Workforce Performance, CFO, Financial Performance Management, financial reporting, FPM, Integrated Business Planning

We recently issued our 2013 Value Index on Financial Performance Management. Ventana Research defines financial performance management (FPM) as the process of addressing the often overlapping people, process, information and technology issues that affect how well finance organizations operate and support the activities of the rest of their organization. FPM deals with the full cycle of finance department activities, which includes planning and budgeting, analysis, assessment and review, closing...

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Topics: Mobile, Planning, Predictive Analytics, Office of Finance, Budgeting, closing, Consolidation, contingency planning, Analytics, Business Analytics, Business Collaboration, Business Performance, Cloud Computing, Financial Performance, CFO, Value Index, Financial Performance Management

R, the open source programming language for statistics and graphics, has now become established in academic computing and holds significant potential for businesses struggling to fill the analytics skills gap. The software industry has picked up on this potential, and the majority of business intelligence and analytics players have added an R-oriented strategy to their portfolio. In this context, it is relevant to look at some of the problems that R addresses and some of the challenges to its...

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Topics: Big Data, Predictive Analytics, Analytics, Business Analytics, Business Intelligence, Customer & Contact Center, Information Applications, Information Management

Many finance executives want to improve their department’s effectiveness in order to play a more strategic role in their company. However, frequently they find at least three serious challenges to achieving this sort of finance transformation. One is that too much time and resources are devoted to purely mechanical tasks. Another is that the information executives need is not always available immediately. A third is that they lack the data (which is unavailable or too difficult to access), the...

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Topics: Predictive Analytics, Office of Finance, Controller, credit, debt, Kyriba Financial Performance Management, Analytics, Business Performance, Financial Performance, CFO, cash management

In recent months I have been asked a straightforward question by several clients: How do you define big data in the context of human capital management? More specifically, the question isn’t so much about the classic definition of big data – which includes the storage and use of high volume of data, high velocity of data and high variety of data, commonly known as the 3Vs – but really has two parts: What are the key differentiators between analytics applications and big data applications, and...

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Topics: Big Data, Predictive Analytics, Social Media, HCM, analytical discovery, Business Analytics, Business Intelligence, Workforce Performance

Along with other aspects of the finance organization, there’s increasing emphasis on having the treasury function play more of a strategic role in the organization. Typically, Treasury is charged with keeping track of and managing cash. Especially in larger organizations, this can be complicated because of multiple bank accounts, complex financing requirements and many methods of receiving and making payments; the complexity deepens when more than one currency is used across multiple...

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Topics: Predictive Analytics, Office of Finance, Controller, credit, debt, Analytics, Business Performance, Financial Performance, CFO, cash management, Financial Performance Management

Predictive analytics in an inherently difficult task and often takes specialized skills. While not easy, the business results of predictive analytics can be significant. 68% of companies say they use predictive analytics to create competitive advantage while 55% say that they increase revenue. KXEN is a software company that specializes in making predictive analytics easier to use by automating predictive analytic processes and some data preparation tasks. Like other predictive analytics...

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Topics: Predictive Analytics, Sales Performance, Operational Performance, Analytics, Business Analytics, Business Intelligence, Business Performance, Cloud Computing, Customer & Contact Center, Information Applications, KXEN, Operational Intelligence, commodity models

IBM’s Big Data and Analytics Analyst Insights conference started me thinking about the longer-term potential impact of big data and related technologies on business management. I covered some of the near-term uses of big data and analytics in an earlier perspective. There are numerous uses of big data that can provide incremental improvements to existing processes and practices. Some of these will have a significant impact on changing business models, enabling new classes of products and...

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Topics: Big Data, Planning, Predictive Analytics, Management, Budgeting, Operational Performance, Analytics, Business Analytics, Business Collaboration, Business Intelligence, Business Performance, IBM, Information Management, decision, FPM, Watson

Organizations today must manage and understand a flood of information that continues to increase in volume and turn it into competitive advantage through better decision making. To do that organizations need new tools, but more importantly, the analytical process knowledge to use them well. Our benchmark research into big data and business analytics found that skills and training are substantial obstacles to using big data (for 79%) and analytics (77%) in organizations.

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Topics: Data Science, Predictive Analytics, R, SAP, Analytics, Business Analytics, Business Intelligence, Business Performance, IBM, Information Applications, Operational Intelligence, Oracle

At this year’s annual SAP user conference, SAPPHIRE, the technology giant showed advances in its cloud and in-memory computing efforts. It has completed the migration of its conventional application suite and portfolio of tools to operate on SAP HANA, its in-memory computing platform, and made improvements in its cloud computing environment, SAP HANA Enterprise Cloud. The last time I analyzed SAP HANA was when it won our firm’s 2012 Overall IT Technology Innovation Award. Now HANA has been...

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Topics: Big Data, Predictive Analytics, SAP, Social Media, Supply Chain Performance, Teradata, Mobile Technology, Operational Performance, Business Analytics, Business Collaboration, Business Intelligence, Business Performance, CIO, Cloud Computing, Customer & Contact Center, Financial Performance, Governance, Risk & Compliance (GRC), HP, Information Applications, Information Management, Workforce Performance, CFO, CMO, SAP EPM, SAP HANA, SAP Lumira, SAPPHIRE, Tagetik

This year’s Inspire, Alteryx’s annual user conference, featured new developments around the company’s analytics platform. Alteryx CEO Dean Stoecker kicked off the event by talking about the promise of big data, the dissemination of analytics throughout the organization, and the data artisan as the “new boss.” Alteryx coined the term “data artisan” to represent the persona at the center of the company’s development and marketing efforts. My colleague Mark Smith wrote about the rise of the data...

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Topics: Predictive Analytics, Sales Performance, Tableau, alteryx, Absolute Data, data artisan, Operational Performance, Analytics, Business Analytics, Business Intelligence, Business Performance, Cloud Computing, Customer & Contact Center, Data Integration, Information Applications, Operational Intelligence

One of the most important IT trends over the past decade has been the proliferation of ever wider and deeper sets of information sources that businesses use to collect, track and analyze data. While structured numerical data remains the most common category, organizations are also learning to exploit semistructured data (text, for example) as well as more complex data types such as voice and image files. They use these analytics increasingly in every aspect of their business – to assess...

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Topics: Planning, Predictive Analytics, Customer, Human Capital Management, Office of Finance, Budgeting, close, closing, Finance Analytics, PRO, Operational Performance, Analytics, Business Analytics, Business Collaboration, Business Performance, Cloud Computing, Financial Performance, CFO, Risk, costing, FPM, Profitability

I recently attended the annual SAS analyst summit to hear the latest company, product and customer growth news from the multi-billion-dollar analytics software provider. This global giant continues to grow its business and solutions to help with fraud prevention, marketing and risk. It lets users apply its analytic and statistical technology in practical applications for business. SAS can meet midsized businesses’ demand with packaging and pricing to ensure it is not seen as only affordable to...

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Topics: Big Data, Predictive Analytics, Sales Performance, SAS, Fraud, GRC, Operational Performance, Analytics, Business Analytics, Business Intelligence, Business Performance, CIO, Cloud Computing, Customer & Contact Center, Data Integration, Financial Performance, Governance, Risk & Compliance (GRC), Information Applications, Information Management, Operational Intelligence, Risk

I’ve frequently commented on the artificiality of the emerging software category of governance, risk and compliance (GRC). The term is used to a cover a combination of what were once viewed as stand-alone software categories, including IT governance, audit documentation and industry-specific compliance management, to name three examples. While it’s still common for specific types of software to be purchased piecemeal by different departments, these disparate areas have started a long...

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Topics: Big Data, Performance Management, Predictive Analytics, Customer Experience, Governance, GRC, Management, Operational Performance, Analytics, Business Performance, Financial Performance, compliance, finance, Risk, financial risk management, IT Risk Management, Sarbanes Oxley, SOX

Big data analytics is being offered as the key to addressing a wide array of management and operational needs across business and IT. But the label “big data analytics” is used in a variety of ways, confusing people about its usefulness and value and about how best to implement to drive business value. The uncertainty this causes poses a challenge for organizations that want to take advantage of big data in order to gain competitive advantage, comply with regulations, manage risk and improve...

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Topics: Predictive Analytics, Sales Performance, SAP, IT Performance, Operational Performance, Analytics, Business Analytics, Business Intelligence, Business Performance, Cloud Computing, Customer & Contact Center, Financial Performance, IBM, Information Applications, Information Management, Data Discovery, big analytics

Managing the access, storage and use of data effectively can provide businesses a competitive advantage. Last year I outlined what the big deal is in big data, as the initial focus on the volume, velocity and variety of data – what my colleague Tony Cosentino calls the three V’s – is only one small piece of how organizations should evaluate this technology. The more balanced approach is to include what he calls the three W’s – the what, so what and now what, which shifts the focus to an...

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Topics: Big Data, Master Data Management, Predictive Analytics, Sales Performance, MDM, Operational Performance, Business Analytics, Business Intelligence, Business Performance, CIO, Cloud Computing, Data Governance, Data Integration, Financial Performance, Information Applications, Information Management, Location Intelligence, Operational Intelligence, Product Information Management

For the past couple of years I’ve been pointing to the importance of in-memory computing to the future of business applications. It’s an integral part of Ventana Research’s business and finance research agenda for 2013, and it’s one of the core technologies that senior executives should have an appreciation for because it can transform all core business processes, especially those that are analytic in nature.

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Topics: Mobile, Predictive Analytics, Real-time, Sales Performance, SAP, Supply Chain Performance, ERP, Operational Performance, Analytics, Business Analytics, Business Collaboration, Business Performance, Cloud Computing, Customer & Contact Center, Financial Performance, In-memory, Workforce Performance, CRM, finance, Social, Business Suite, Financial Performance Management, HANA

Businesses always see a lag between when technology makes some advance possible and when a majority of companies actually adopt it. There’s even a longer lag between the emergence of an advance in a business process or technique and the time it takes to become mainstream. When we write our research agendas at the top of each year, we have to strike a balance between focusing on the new and different, which is still many years away from general acceptance, and the mainstream, which has been...

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Topics: Big Data, Planning, Predictive Analytics, Sales Performance, Governance, GRC, Office of Finance, Budgeting, close, Operational Performance, Analytics, Business Analytics, Business Collaboration, Business Performance, CIO, Cloud Computing, Financial Performance, Governance, Risk & Compliance (GRC), In-memory, Workforce Performance, CFO, Risk, CEO, Financial Performance Management, FPM

This is the third in a series of blog posts on what CEOs (and for that matter, all senior corporate executives) need to know about IT and its impact on running a business. The first covered the high-level issues. As I noted, it’s not necessary for a CEO to be able to write Java code or master the intricacies of an ERP or sales compensation application. However, CEOs must grasp the basics of IT just as they must understand basic corporate finance, the production process and – at least at a high...

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Topics: Planning, Predictive Analytics, Sales, Sales Performance, Customer, Human Capital Management, Office of Finance, Budgeting, close, closing, PRO, Operational Performance, Analytics, Business Analytics, Business Performance, Customer & Contact Center, Financial Performance, Information Management, CFO, CEO, FPM, Profitability, SPM

Big data was big news in 2012 and probably in 2013 too. The Harvard Business Review talks about it as The Management Revolution. The Wall Street Journal says Meet the New Boss: Big Data, and Big Data is on the Rise, Bringing Big Questions. Given big data’s popularity in the press, you might think that the technology market is only about big data and how companies use the vast and growing amount of data now available to organizations. While this technology can provide a significant opportunity,...

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Topics: Big Data, Data Warehousing, Predictive Analytics, Social Media, Harvard Business Review, Wall Street Journal, IT Performance, Operational Performance, Business Analytics, Business Collaboration, Business Intelligence, Business Performance, CIO, Cloud Computing, Customer & Contact Center, Financial Performance, Information Management, Technology Innovation, Strata+Hadoop

IBM acquired SPSS in late 2009 and has been investing steadily in the business as a key component of its overall business analytics portfolio. Today, SPSS provides an integrated approach to predictive analytics through four software packages: SPSS Data Collection, SPSS Statistics, SPSS Modeler and SPSS Decision Management. SPSS is also integrated with Cognos Insight, IBM’s entry into the visual discovery arena.

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Topics: Predictive Analytics, Social Media, IT Performance, Operational Performance, Business Analytics, Business Collaboration, Business Intelligence, Business Performance, Customer & Contact Center, IBM, Workforce Performance, SPSS

I was at the Salesforce.com Dreamforce conference this week to hear about the latest advancements from the cloud computing software giant. Salesforce has helped revolutionize cloud computing for business, and its social media and collaborative technologies help advance business processes in sales, customer service and improve the interactions between employees, partners and customers. Salesforce has made great advancements in cloud, social and mobile technology, as I have assessed and my...

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Topics: Big Data, Predictive Analytics, QlikView, Sales Performance, Salesforce.com, Social Media, Gooddata, SnapLogic, Operational Performance, Analytics, Business Analytics, Business Collaboration, Business Intelligence, Business Performance, Cloud Computing, Customer & Contact Center, Financial Performance, InetSoft, Information Applications, Information Management, KXEN, Operational Intelligence, Cloud9 Analytics, Domo, Information Builder iway, Roambi

I had a refreshing call this morning with a vendor that did not revolve around integration of systems, types of data, and the intricacies of NoSQL approaches. Instead, the discussion was about how its business users analyze an important and complex problem and how the company’s software enables that analysis. The topic of big data never came up, and it was not needed, because the conversation was business-driven and issue-specific.

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Topics: Big Data, Datameer, Predictive Analytics, Sales Performance, Supply Chain Performance, Planview, SuccessFactors, Operational Performance, Analytics, Business Analytics, Business Intelligence, Business Performance, Customer & Contact Center, Financial Performance, IBM, Information Management, Operational Intelligence, Workforce Performance, PivotLink

Our research consistently finds that defects in data are the root cause of a wide range of problems encountered by modern corporations. The magnitude of the problem correlates with the size of the company: Big companies have bigger headaches than midsize ones. Data issues diminish productivity in every part of a business as people struggle to correct errors or find workarounds. Issues with data are a man-made phenomenon, yet companies seem to treat bad data as some sort of force of nature like...

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Topics: Big Data, Predictive Analytics, Sales Performance, Supply Chain Performance, GRC, IT Performance, Operational Performance, Business Analytics, Business Intelligence, Business Performance, CIO, Customer & Contact Center, Financial Performance, Information Management, Operational Intelligence, Workforce Performance, CFO, finance, FPM

A study by the McKinsey Global Institute published earlier this year suggests a coming shortage of more than 140,000 workers with deep analytical skills and a shortage of more than 1.5 million data-literate managers. I’m not sure how the study defined these roles, but I’d guess that those with deep analytic skills are those folks building the complex models, and the data-literate managers are those executives, middle managers and analysts who interpret the results and use the models to help...

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Topics: Big Data, Data Scientist, Predictive Analytics, Sales Performance, IT Performance, Operational Performance, Analytics, Business Analytics, Business Collaboration, Business Intelligence, Business Performance, Cloud Computing, Customer & Contact Center, Operational Intelligence, Workforce Performance

Over the years Tibco has provided infrastructure for enterprise data integration and has built a substantial installed base. Now the company positions itself as supplying next-generation analytics for big data through service-oriented architecture (SOA). SOA has been around for a while; Ventana Research has been tracking it since 2006 and conducted benchmark research on SOA. But it remains a vaguely understood technology. Our research shows that SOA is not clearly defined in the market and that...

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Topics: Big Data, Predictive Analytics, Sales Performance, SOA, Spotfire, IT Performance, Operational Performance, Analytics, Business Analytics, Business Intelligence, Business Performance, Cloud Computing, Complex Event Processing, Customer & Contact Center, Information Management, Operational Intelligence, Tibco, CEP, Service Cloud

In this second in a blog series on business analytics I focus on the increasingly important area of predictive analytics. Our benchmark research into predictive analytics shows that while the vast majority of companies see this technology as important or very important for the future of their organizations, most are not taking full advantage of it. This finding suggests that there is an opportunity for companies to gain competitive advantage by implementing predictive analytics in the near term.

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Topics: Big Data, Predictive Analytics, Sales Performance, Supply Chain Performance, Operational Performance, Business Analytics, Business Collaboration, Business Intelligence, Business Performance, Cloud Computing, Customer & Contact Center, Financial Performance, Operational Intelligence, Workforce Performance

Our benchmark research on business analytics suggests that it is counterproductive to take a general approach to the topic. A better approach is to focus on particular use cases and lines of business (LOB). For this reason, in a series of upcoming articles, I will look at our business analytics research in the context of different industries and different functional areas of an organization, and illustrate how analytics are being applied to solve real business problems.

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Topics: Big Data, Predictive Analytics, Sales Performance, Social Media, Supply Chain Performance, IT Performance, Operational Performance, Business Analytics, Business Collaboration, Business Intelligence, Business Performance, Cloud Computing, Customer & Contact Center, Financial Performance, Governance, Risk & Compliance (GRC), Information Applications, Information Management, Location Intelligence, Operational Intelligence, Workforce Performance

MicroStrategy, announced version 9.3. The announcement came out of Amsterdam this month just in front of MicroStrategy World, the company’s annual conference for the European market. Release 9.3 delivers significant updates in four main areas: big data, advanced analytics, automated administration and visual data discovery.

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Topics: Big Data, MicroStrategy, Mobile, Predictive Analytics, Sales Performance, IT Performance, Operational Performance, Visual Insight, Business Analytics, Business Collaboration, Business Intelligence, Business Performance, Cloud Computing, Customer & Contact Center, Information Applications, Operational Intelligence, Workforce Performance, Digital Technology

My research into customer experience management shows that companies are increasingly aware that the customer experience has a profound impact on business success. In almost equal numbers, participants said it determines the loyalty of customers (21%), the propensity of customers to recommend the company to others (21%), the amount of additional purchases they make (19%) and their general level of satisfaction (19%). Furthermore, companies also realize that good experiences save money, because...

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Topics: Predictive Analytics, Customer Analytics, Customer Data Management, Customer Experience, Customer Feedback Management, Social CRM, Speech Analytics, Voice of the Customer, Analytics, Cloud Computing, Customer & Contact Center, Customer Service, Call Center, Contact Center, Contact Center Analytics, CRM, Desktop Analytics, Text Analytics, Unified Communications, Vendor(s), Workforce Force Optimization

We recently issued our 2012 Value Index on Financial Performance Management (FPM). Ventana Research defines FPM as the process of addressing the often overlapping people, process, information and technology issues that affect how well finance organizations operate and support the activities of the rest of their organization. FPM deals with the full cycle of finance department activities, which includes planning and budgeting, analysis, assessment and review, closing and consolidation, internal...

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Topics: Mobile, Planning, Predictive Analytics, Office of Finance, Budgeting, closing, Consolidation, contingency planning, Analytics, Business Analytics, Business Performance, Financial Performance, CFO, Value Index, Financial Performance Management

Our benchmark research into agent performance management shows that the majority of companies are not very mature in their use of people, processes, information and technology in handling customer interactions. Companies are most mature is their use of information, but even in this area they are hampered by their failure to use the latest technologies available to support their efforts.

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Topics: Predictive Analytics, Sales Performance, Social Media, Customer Analytics, NICE Systems, Speech Analytics, Voice of the Customer, VPI, Call Copy, Enkata, Envision, Genesys, KnopahSoft, LiveOps, Operational Performance, Analytics, Business Analytics, Business Performance, Cloud Computing, Customer & Contact Center, Workforce Performance, Call Center, coaching, Compensation, Contact Center, Contact Center Analytics, Desktop Analytics, Text Analytics, OnviSource, Training, Verint, Workforce Force Optimization

One of the most important trends in business over the past 20 years has been the broadening use of information technology to manage and support activities. In the early decades of business computing, companies developed islands of automation for largely numeric functions such as billing, inventory management and accounting. Each ran on a proprietary system and engaged the time of a relative handful of employees. Today, just about everyone works with an IT system for at least some of their...

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Topics: Big Data, Performance Management, Predictive Analytics, Customer Experience, Governance, GRC, Management, IT Performance, Operational Performance, Analytics, Business Intelligence, Business Performance, Financial Performance, Governance, Risk & Compliance (GRC), compliance, finance, Risk, financial risk management, IT Risk Management

Risk has always been an integral part of business, but our recent Governance, Risk and Compliance (GRC) benchmark research shows that companies deal with risk with varying degrees of effectiveness – especially operational risk. A majority of companies lag in their overall GRC maturity, as I covered in a recent blog post. Operational risk management should be of greater interest to executives today because they can have greater control of it than before. The expansion of IT systems to automate...

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Topics: Big Data, Performance Management, Predictive Analytics, Sales Performance, Supply Chain Performance, Customer Experience, Governance, GRC, Management, IT Performance, Operational Performance, Analytics, Business Analytics, Business Collaboration, Business Intelligence, Business Performance, Customer & Contact Center, Financial Performance, Governance, Risk & Compliance (GRC), Information Applications, Information Management, Location Intelligence, Operational Intelligence, Workforce Performance, compliance, finance, Risk, financial risk management

Our benchmark research on business analytics finds that just 13 percent of companies overall and 11 percent of finance departments use predictive analytics. I think advanced analytics – especially predictive analytics – should play a larger role in managing organizations. Making it easier to create and consume advanced analytics would help organizations broaden their integration in business planning and execution. This was one of the points that SPSS, an IBM subsidiary that provides analytics,...

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Topics: Big Data, Performance Management, Planning, Predictive Analytics, Marketing, Modeling, Sales Forecasting, Analytics, IBM, Uncategorized, SPSS

I hear a lot of talk about  the impact of social media on customer service and the contact center. My research into customer relationship maturity shows much of this is only talk. The research shows that while many companies have rushed to create a Twitter handle and a Facebook page and put video on YouTube, most are struggling to integrate social media into their customer service or more broadly their customer engagement strategy and processes.

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Topics: Predictive Analytics, Social Media, Customer Analytics, Customer Experience, Social CRM, Speech Analytics, Voice of the Customer, Analytics, Cloud Computing, Customer & Contact Center, Customer Service, Call Center, Contact Center, Contact Center Analytics, CRM, Desktop Analytics, Text Analytics, Social Dynamx

At its Business Analytics Analyst Summit (Twitter: #IBMBAS12) this week, IBM unveiled its new release of analytics software for decision management. Over the last 25 years decision support systems have transformed into decision management, in which analytics, rules and optimization methods help organizations use information to guide optimal outcomes. IBM has experience and technology in these areas, most of it acquired, to apply to specific organizational needs in vertical industries. In...

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Topics: Big Data, Predictive Analytics, Sales Performance, Supply Chain Performance, Operational Performance, Business Analytics, Business Collaboration, Business Intelligence, Business Performance, Cloud Computing, Customer & Contact Center, Financial Performance, IBM, Workforce Performance, Business Process Management, Decision Management

After the SAS analyst event last year, I wrote that it is hard to keep track of everything SAS has to offer because it had so many products and developments in the pipeline. Back from this year’s event, I can report that 2011 was successful, its revenue and worldwide presence are up, and SAS continues to expand its channels to market. On top of everything I saw last year even more products and developments are in the pipeline, but the theme and focus remain the same: enabling business analytics.

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Topics: Predictive Analytics, Social Media, Customer Analytics, Customer Data Management, Customer Experience, Speech Analytics, Voice of the Customer, Management, Analytics, Business Analytics, Business Intelligence, Cloud Computing, Customer & Contact Center, Governance, Risk & Compliance (GRC), Contact Center Analytics, Desktop Analytics, Text Analytics, Vendor(s)

Ventana Research was the first analyst firm to cover operational intelligence, and a while back I wrote how the products of Vitria support proactive customer service by using event data to anticipate likely impacts of operation issues on customer service. Our research into the use of analytics shows that while more mature companies have begun to adopt OI, they are mainly early adopters. In an effort to speed up adoption, Vitria has developed what it calls operational intelligence apps and it...

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Topics: Predictive Analytics, Customer Analytics, Customer Experience, Social CRM, Speech Analytics, Vitria, Voice of the Customer, Operational Performance, Analytics, Cloud Computing, Customer & Contact Center, Customer Service, Information Applications, Operational Intelligence, Call Center, Contact Center, Contact Center Analytics, CRM, Desktop Analytics, Text Analytics

Jacada pioneered what I call a smart agent desktop when in 1990 it created the tools that allow companies to develop a desktop application that follows the process of handling a call, hides applications behind a simple-to-use interface and automates access and updating of systems. This smart agent desktop enables agents to answer calls more efficiently and effectively and to focus on the customer. The product includes tools that allow developers to map the process of handling different call...

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Topics: Predictive Analytics, Customer Analytics, Customer Experience, Speech Analytics, Voice of the Customer, Jacada, Analytics, Customer & Contact Center, Customer Service, Call Center, Contact Center, Contact Center Analytics, CRM, Desktop Analytics, Text Analytics

I recently spoke with Oversight Systems, an operational intelligence analytics company that uses predictive analytics and optimization to help companies save money, reduce the risk of loss and fraud, and reinforce corporate governance and compliance efforts. Ventana Research views operational intelligence as an emerging technology with the potential for a high return on investment. By continuously monitoring activities in a company’s IT systems, Oversight’s Web-based software continuously,...

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Topics: Big Data, Predictive Analytics, Sales Performance, Supply Chain Performance, Fraud, Governance, GRC, Office of Finance, audit, Operational Performance, Analytics, Business Analytics, Business Performance, Cloud Computing, Financial Performance, Governance, Risk & Compliance (GRC), Information Management, Operational Intelligence, controls, Oversight Systems

Our benchmark research into the contact center in the cloud shows that almost all companies now support multiple communication channels to engage with customers. Most of them also involve multiple business units in handling inbound and outbound interactions. More companies now support at-home agents, and contact centers are becoming more distributed. These scenarios are a good fit for cloud-based systems, and the research finds that the top three ways organizations said they can meet these...

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Topics: Predictive Analytics, Sales Performance, Customer Analytics, Customer Experience, Social CRM, Speech Analytics, Voice of the Customer, Echopass, Operational Performance, Analytics, Business Collaboration, Business Intelligence, Business Mobility, Cloud Computing, Customer & Contact Center, Customer Service, Information Applications, Workforce Performance, Call Center, Contact Center, Contact Center Analytics, CRM, Desktop Analytics, Text Analytics, Unified Communications

Predictive analytics has the potential to help businesses increase the impacts of their actions by creating indicators that represent future outcomes based on existing behavior. This process becomes more complicated when they have to apply predictive analytics to what we call big data environments. As yet only 13 percent of organizations are using predictive analytics according to our business analytics benchmark research, although 37 percent indicated that predictive capabilities are very...

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Topics: Big Data, Predictive Analytics, Opera Solutions, IT Performance, Business Analytics, Business Collaboration, Business Intelligence, Business Mobility, Business Performance, Business Technology, CIO, Cloud Computing, Information Applications, Information Management, Information Technology, Operational Intelligence

A recent research project involving 7,000 consumers carried out by the Harvard Business Review concluded that to retain customers and get them to buy more products, organizations must make it simple for people to engage with them, provide information they trust and allow them to weigh their options before they buy. The research found that consumers are bombarded with information and choices, and as a result they tend to go down the easiest route, which often leads them to take a blinkered view:...

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Topics: Predictive Analytics, Sales Performance, Social Media, Customer Analytics, Customer Data Management, Customer Experience, Customer Feedback Management, Social CRM, Speech Analytics, Voice of the Customer, Analytics, Business Analytics, Business Collaboration, Cloud Computing, Customer & Contact Center, Customer Service, Workforce Performance, Call Center, Contact Center, Contact Center Analytics, CRM, Desktop Analytics, Text Analytics, Unified Communications, Workforce Management

Interactive Intelligence announced Interaction Mobilizer, the latest application in its growing portfolio of products. As I recently wrote, Interactive Intelligence has come a long way since it launched its first software-based PBX in 1994. It was a pioneer in offering contact center applications in the cloud, which now include communications in the cloud and products for workforce optimization. The latest announcement follows similar ones from other vendors also announcing applications to...

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Topics: Predictive Analytics, Sales Performance, Customer Analytics, Customer Experience, Customer Feedback Management, Social CRM, Speech Analytics, Voice of the Customer, Operational Performance, Analytics, Business Collaboration, Business Intelligence, Business Mobility, Cloud Computing, Customer & Contact Center, Customer Service, Information Applications, Workforce Performance, Call Center, Contact Center, Contact Center Analytics, CRM, Desktop Analytics, Interactive Intelligence, Text Analytics, Unified Communications, Workforce Management

I attended NICE Systems’ annual Interactions (Twitter #Interaction2012) conference in Nashville to get the latest from this growing global software business that focuses on customer-centric applications. If you have not heard of NICE you might not be primarily involved in managing and interacting with customers, the area in which NICE has been growing organically and by acquiring technology providers that complement its existing portfolio. As we discussed in recent analyses, and NICE acquired...

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Topics: Predictive Analytics, Sales Performance, Social Media, Customer Analytics, Customer Experience, Customer Feedback Management, NICE Systems, Social CRM, Speech Analytics, Voice of the Customer, Operational Performance, Analytics, Business Analytics, Business Collaboration, Business Intelligence, Business Mobility, Cloud Computing, Customer & Contact Center, Customer Service, Financial Performance, Governance, Risk & Compliance (GRC), Operational Intelligence, Workforce Performance, Call Center, Contact Center, Contact Center Analytics, CRM, Desktop Analytics, Interactive Intelligence, Text Analytics, Unified Communications, Workforce Management

I recently attended the second in the series of customer engagement days organized by the Directors Club (GB & NI). The format of the event was the same as the first day that I wrote about and included three keynote presentations and three roundtable sessions where attendees discussed how organizations should engage with customers. As for the first event I chaired the roundtable on perfecting multichannel customer engagement in the contact center and gave a keynote on how social media is...

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Topics: Predictive Analytics, Sales Performance, Social Media, Supply Chain Performance, Sustainability, Customer Analytics, Customer Data Management, Customer Experience, Customer Feedback Management, NICE Systems, Social CRM, Speech Analytics, Voice of the Customer, Genesys, InContact, IT Performance, Operational Performance, Analytics, Business Analytics, Business Collaboration, Business Intelligence, Business Mobility, Cloud Computing, Customer & Contact Center, Customer Service, Financial Performance, Governance, Risk & Compliance (GRC), Information Applications, Information Management, Location Intelligence, Operational Intelligence, Workforce Performance, Call Center, Contact Center, Contact Center Analytics, CRM, Desktop Analytics, Interactive Intelligence, Text Analytics, Unified Communications, Workforce Management, Noble Systems, Verint

Verint is one of the major players in the contact center market, with two suites of products that support contact centers and voice of the customer analysis. The company’s website shows that these suites have been put together from a combination of in-house developments and acquisitions (Blue Pumpkin, Witness Systems, Mercom, Iontas, GMT and Vovici are among them). Although this strategy has allowed Verint to create comprehensive suites of products in both areas, it also created issues with...

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Topics: Predictive Analytics, Customer Analytics, Customer Experience, Customer Feedback Management, Social CRM, Speech Analytics, Voice of the Customer, Operational Performance, Analytics, Cloud Computing, Customer & Contact Center, Customer Service, Call Center, Contact Center, Contact Center Analytics, CRM, Desktop Analytics, Text Analytics, Workforce Management, Verint

Last December NICE Systems announced a definitive agreement to acquire Merced Systems. I have been covering both companies for several years, and initially it wasn’t obvious to me why the acquisition made sense. My colleague Mark Smith wrote about the deal and expressed concerns about how the acquisition would impact both sets of customers and both organizations. Now it turns out that the Merced acquisition will have a much bigger effect on NICE than expected.

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Topics: Predictive Analytics, Sales Performance, Customer Analytics, Customer Experience, Customer Feedback Management, Social CRM, Speech Analytics, Voice of the Customer, Operational Performance, Analytics, Business Analytics, Business Collaboration, Business Intelligence, Cloud Computing, Customer & Contact Center, Customer Service, Call Center, Contact Center, Contact Center Analytics, CRM, Desktop Analytics, Text Analytics, Workforce Management

SAS is one of the largest and best-known independent vendors of BI and analytics. The company’s website shows  16 product lines, and product variations to match almost every business analytics requirement in any industry. One of its core products lines is Customer Intelligence, which I wrote about last year. Customer Intelligence consists of four main components: strategy and planning, information and analytics, orchestration and interaction, and customer experience – among all these interesting...

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Topics: Predictive Analytics, Sales Performance, SAS, Social Media, Customer Analytics, Customer Experience, Social CRM, Speech Analytics, Voice of the Customer, Customer Intelligence, Operational Performance, Analytics, Business Analytics, Business Collaboration, Business Intelligence, Business Mobility, Business Performance, Cloud Computing, Customer & Contact Center, Customer Service, Information Applications, Information Management, Location Intelligence, Operational Intelligence, Contact Center Analytics, Desktop Analytics, Text Analytics

In the last several years many companies have shifted away from the mad pursuit of new customers toward focusing on retaining existing customers and winning more business from them. Against that background I expected to see a resurgence of customer relationship management processes and systems, but instead there is a growing focus on social media, customer experience management (CEM) and voice of the customer (VOC). I have already voiced my concerns on the level of focus on social business. My ...

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Topics: Predictive Analytics, Social Media, Customer Analytics, Customer Experience, Customer Feedback Management, Social CRM, Speech Analytics, Voice of the Customer, Operational Performance, Analytics, Business Mobility, Cloud Computing, Customer & Contact Center, Customer Service, Workforce Performance, Call Center, Contact Center, Contact Center Analytics, CRM, Desktop Analytics, Text Analytics, Workforce Management

If they haven’t done so yet, businesses ought to become acquainted with two relatively new concepts: customer experience management (CEM) and voice of the customer (VOC). Ventana Research defines CEM as the practice of managing the customer experience at all touch points regardless of the communications channel being used. To manage that experience, three types of systems are directly helpful: smart desktop technology to help employees deliver great experiences to customers as they are...

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Topics: Predictive Analytics, Social Media, Customer Analytics, Customer Experience, Customer Feedback Management, Social CRM, Speech Analytics, Voice of the Customer, Callminer, ResponseTek, Operational Performance, Analytics, Business Mobility, Cloud Computing, Customer & Contact Center, Customer Service, Workforce Performance, Call Center, Contact Center, Contact Center Analytics, CRM, Desktop Analytics, Text Analytics

As a technology, predictive analytics has existed for years, but adoption has not been widespread among businesses. In our recent benchmark research on business analytics among more than 2,600 organizations, predictive analytics ranked only 10th among technologies they use to generate analytics, and only one in eight of those companies use it. Predictive analytics has been costly to acquire, and while enterprises in a few vertical industries and specific lines of business have been willing to...

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Topics: Data Scientist, Predictive Analytics, Sales Performance, Social Media, Supply Chain Performance, IT Performance, Business Analytics, Business Intelligence, Customer & Contact Center, Workforce Performance

I want to share my observations from the recent annual SAS analyst briefing. SAS is a huge software company with a unique culture and a history of success. Being privately held SAS is not required to make the same financial disclosures as publicly held organizations, it released enough information to suggest another successful year, with more than $2.7 billion in revenue and 10 percent growth in its core analytics and data management businesses. Smaller segments showed even higher growth rates....

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Topics: Big Data, Predictive Analytics, SAS, Business Analytics, Business Intelligence, Business Performance, Cloud Computing, Strata+Hadoop

For most people involved with business intelligence (BI), these are exciting times. Using BI to improve business processes continues to motivate organizations to invest in BI. The focus on BI also empowers business analytics and can be rented in the cloud computing model of accessing software. New technologies are adding dimensions to BI and creating both excitement and confusion for enterprises implementing them. We offer a variety of accomplished research that can help organizations overcome...

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Topics: Mobile Business Intelligence, Predictive Analytics, Sales Performance, Social Media, Supply Chain Performance, Operational Performance, Business Analytics, Business Intelligence, Business Performance, Collaboration, Customer & Contact Center, Financial Performance, Information Management, Operational Intelligence, Workforce Performance

Like many other observers with a business perspective, I have been skeptical of unified communications, but a day I spent at the recent Unified Communications Expo 2012 went a long way to convincing me that unified communications has entered the mainstream. At this point I think organizations should consider it as a viable option to improve the efficiency of their communications systems, the ability to collaborate internally and with customers, and the effectiveness of their multimedia contact...

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Topics: Microsoft, Predictive Analytics, Social Media, Customer Analytics, Customer Data Management, Customer Experience, Customer Feedback Management, Social CRM, Speech Analytics, Voice of the Customer, Dell, NEC, Operational Performance, Analytics, Business Mobility, Cloud Computing, Customer & Contact Center, Customer Service, IBM, Workforce Performance, Call Center, Contact Center, Contact Center Analytics, CRM, Desktop Analytics, Text Analytics, Unified Communications, Workforce Management, Nokia, Vocalcom and Zeacom

Businesses have long struggled to build ongoing, profitable relationships with their customers.  Our new benchmark research into customer relationship maturity shows that this is not getting easier. 

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Topics: Predictive Analytics, Social Media, Customer Analytics, Customer Data Management, Customer Experience, Customer Feedback Management, Social CRM, Speech Analytics, Voice of the Customer, Operational Performance, Analytics, Business Mobility, Cloud Computing, Customer & Contact Center, Customer Service, Workforce Performance, Call Center, Contact Center, Contact Center Analytics, CRM, Desktop Analytics, Text Analytics, Unified Communications, Workforce Management

My namesake Jon Snow is chairman of the Directors Club (GB & NI), an association for professionals who focus on dealing with customers.Recently he organized the first of a series of customer engagement days designed to bring together senior representatives of U.K. companies to listen to a few presentations about hot issues in engaging with customers and more importantly to share experiences and concerns about key customer engagement issues in roundtable discussions, such as “the rise of the...

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Topics: Predictive Analytics, Social Media, Customer Analytics, Customer Data Management, Customer Experience, Customer Feedback Management, Social CRM, Speech Analytics, Voice of the Customer, Operational Performance, Analytics, Business Mobility, Cloud Computing, Customer & Contact Center, Customer Service, Workforce Performance, Call Center, Contact Center, Contact Center Analytics, CRM, Desktop Analytics, Text Analytics, Unified Communications, Workforce Management

Cicero provides what I call a smart desktop product. The software allows users to hide multiple applications behind an easy-to-use interface and build rules to complete tasks more efficiently and effectively, for example, specifying  what field to complete next or the next question to ask a caller. It enhances customer experience management by enabling users to focus on the customers rather than on how to access the various systems, data and information needed to resolve interactions. 

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Topics: Predictive Analytics, Social Media, Customer Analytics, Customer Experience, Voice of the Customer, Cicero, Operational Performance, Analytics, Business Mobility, Cloud Computing, Customer & Contact Center, Customer Service, Workforce Performance, Call Center, Contact Center, Contact Center Analytics, CRM, Desktop Analytics

I attended the Alteryx user conference called Inspire 2012 (Twitter: #Inspire12) in Denver this week. This fairly new analytics software company has been gaining customers in a range of brand-name organizations such as Dick’s Sporting Goods, Supervalu, U.S. Cellular and VF Corp. The company focuses on meeting the needs of analysts across the business analytic spectrum including a geographic and location context for simplifying the analytic tasks and processes for the needs of business at the...

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Topics: Big Data, Mobile, Predictive Analytics, R, Sales Performance, Supply Chain Performance, alteryx, Operational Performance, Analytics, Business Analytics, Business Intelligence, Business Performance, Cloud Computing, Customer & Contact Center, Financial Performance, Information Management, Data

In all the years I have spent building contact centers and tracking this market, from both business and technology perspectives many things have not changed. Center managers are still under pressure to drive down costs, customers generally are not satisfied with the way their interactions are handled (perhaps less so), and organizations still aren’t making the most of customer interactions. However, as noted in my predictions for 2012, I am expecting more rapid change in the next couple of...

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Topics: Predictive Analytics, Social Media, Customer Analytics, Customer Data Management, Customer Experience, Customer Feedback Management, Social CRM, Speech Analytics, Voice of the Customer, Operational Performance, Analytics, Business Mobility, Cloud Computing, Customer & Contact Center, Customer Service, Workforce Performance, Call Center, Contact Center, Contact Center Analytics, CRM, Desktop Analytics, Text Analytics, Unified Communications, Workforce Management

A few months ago, evaluated Zeacom CommunicationsCenter (ZCC), which provides a multichannel contact center that is integrated closely with business process automation. This allows organizations to build a contact center tied to their interaction-handling processes and deliver any form of interaction to the person most qualified to handle it. At the time of my review, the product ran alongside products from the likes of Avaya, Cisco and NEC, and was resold and supported by the partner...

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Topics: Predictive Analytics, Social Media, Customer Analytics, Customer Experience, Social CRM, Speech Analytics, Voice of the Customer, Operational Performance, Analytics, Business Mobility, Cloud Computing, Customer & Contact Center, Customer Service, Call Center, Contact Center, Contact Center Analytics, CRM, Desktop Analytics, Text Analytics, Unified Communications, Zeacom

The products of Enkata have generally been designed for what Ventana Research terms performance management for customer service and call centers, including applications connected to agent performance management (quality monitoring, coaching, training and related analytics) and operational performance analytics based on transactional, structured data. Recently Enkata has taken a new direction with its branding (“changing the customer experience”) and has been filling out its portfolio of...

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Topics: Predictive Analytics, Social Media, Customer Analytics, Customer Experience, Customer Feedback Management, Social CRM, Speech Analytics, Voice of the Customer, Callminer, Enkata, Operational Performance, Analytics, Cloud Computing, Customer & Contact Center, Customer Service, Workforce Performance, Call Center, Contact Center, Contact Center Analytics, Desktop Analytics, Text Analytics, Workforce Management, OpenSpan

Business analytics and big data are common topics of conversation in the business and information technology markets, but these technologies are only building blocks to help businesses manage performance. Entering the conversation is Actuate, which for years has had a performance management division that provides software for managing progress toward objectives through a variety of analytic and action-focused techniques. The company has announced release of a promising new generation of its...

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Topics: Big Data, Mobile, Predictive Analytics, Sales Performance, Supply Chain Performance, Performance Analytics, Operational Performance, Analytics, Business Analytics, Business Intelligence, Business Performance, Cloud Computing, Customer & Contact Center, Financial Performance, Information Management, Workforce Performance

Revolution Analytics recently announced the winners of its “Applications of R in Business” contest. Revolution Analytics has built a business around supporting R, an open source statistical software package, and extending it with features it licenses to customers. I served as a judge in the contest. Since I was in the midst of analyzing the data for our predictive analytics benchmark research, I was interested to see how the contestants applied predictive analytics techniques to specific...

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Topics: Predictive Analytics, Sales Performance, Social Media, Supply Chain Performance, Operational Performance, Business Analytics, Business Intelligence, Business Performance, Customer & Contact Center, Financial Performance, Workforce Performance

When it comes to technology, debates about whether a particular name suits its category are rampant. Here is a link to one such argument about the term “big data” from Curt Monash, an analyst whom I respect a great deal. This debate rages in the Twittersphere also, as in this comment from Neil Raden, another analyst I respect, suggesting that “big data is a marketing term … imprecise by design.”  Another term I’ve encountered resistance to recently is “predictive analytics.” See: (“Revolution...

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Topics: Predictive Analytics, Sales Performance, Social Media, Supply Chain Performance, Operational Performance, Business Analytics, Business Intelligence, Business Performance, Cloud Computing, Customer & Contact Center, Financial Performance, Workforce Performance

MicroStrategy, one of the largest independent vendors of business intelligence (BI) software, recently held its annual user conference, which I attended with some of my colleagues and more than 2,000 other attendees. At this year’s event, the company emphasized four key themes: mobility, cloud computing, big data and social media. In this post, I’ll assess what MicroStrategy is doing in each of the first three areas. My colleague, Mark Smith, covered MicroStrategy’s social intelligence efforts...

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Topics: Big Data, MicroStrategy, Mobile, Predictive Analytics, Sales Performance, Social Media, Supply Chain Performance, Operational Performance, Business Analytics, Business Intelligence, Cloud Computing, Customer & Contact Center, Workforce Performance, Strata+Hadoop

Ventana Research believes that to provide excellent customer experiences it is necessary to understand what customers want and their likely behaviors, and one direct way to achieve this is by collecting and analyzing customer feedback. The challenge for organizations in this regard is that most customers are reluctant to complete surveys unless they are provided at an appropriate time, in an easy-to-use format and through the channel of their choice. Confirmit’s Horizons products support...

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Topics: Predictive Analytics, Customer Analytics, Customer Data Management, Customer Experience, Customer Feedback Management, Social CRM, Speech Analytics, Voice of the Customer, Analytics, Cloud Computing, Customer & Contact Center, Customer Service, Call Center, Contact Center, Contact Center Analytics, CRM, Desktop Analytics, Text Analytics, Unified Communications, Workforce Management, Confirmit

There is a lot of talk today in customer service circles about the “voice of the customer” (VOC). For some people it means speech analytics (literally the voice of the customer), some others use it as an equivalent to the “360-degree view” of the customer, and for others it is about customer feedback. At Ventana Research we take a broader view and define VOC as reports and analysis that include as much customer information as possible. It should draw data from all available customer sources and...

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Topics: Predictive Analytics, Customer Analytics, Customer Experience, Customer Feedback Management, Speech Analytics, Voice of the Customer, Operational Performance, Analytics, Customer & Contact Center, Customer Service, Call Center, Contact Center, Contact Center Analytics, CRM, Desktop Analytics, Text Analytics, Workforce Management

Clarabridge is an established vendor of text analytics products, which it sells both directly to the market and indirectly through an extensive set of partnerships with companies such as MicroStrategyIBM Cognos and Verint. Recently it has been marketing its applications under the category of customer experience management (CEM). To me, CEM is about personalizing and influencing the customer experience while an interaction is in progress. Organizations cannot do this without the right...

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Topics: Predictive Analytics, Social Media, Customer Analytics, Customer Data Management, Customer Experience, Customer Feedback Management, Social CRM, Speech Analytics, Voice of the Customer, Clarabridge, Operational Performance, Analytics, Cloud Computing, Customer & Contact Center, Customer Service, Call Center, Contact Center, Contact Center Analytics, CRM, Desktop Analytics, Text Analytics, Unified Communications, Workforce Management

My colleague Mark Smith and I recently chatted with executives of Tidemark, a company in the early stages of providing business analytics for decision-makers. It has a roster of experienced executive talent and solid financial backing. There’s a strategic link with Workday that reflects a common background at the operational and investor levels. As it gets rolling, Tidemark is targeting large and very companies as customers for its cloud-based system for analyzing data. It can automate alerts...

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Topics: Big Data, Data Warehousing, Master Data Management, Performance Management, Planning, Predictive Analytics, Sales Performance, GRC, Budgeting, Risk Analytics, Operational Performance, Analytics, Business Analytics, Business Collaboration, Business Intelligence, Business Mobility, Business Performance, Cloud Computing, Customer & Contact Center, Data Governance, Data Integration, Financial Performance, In-Memory Computing, Information Management, Mobility, Workforce Performance, Risk, Workday, Financial Performance Management, Integrated Business Planning, Strata+Hadoop

After reviewing the benchmark research I carried out during 2011 into customer and contact center analytics, the use of technology in contact centers and the adoption of cloud-based contact centers and systems, I have come up with a list of critical investments that I predict will distinguish customer and contact center management in 2012.

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Topics: Predictive Analytics, Social Media, Customer Analytics, Customer Data Management, Customer Experience, Customer Feedback Management, Social CRM, Speech Analytics, Voice of the Customer, Operational Performance, Analytics, Business Mobility, Cloud Computing, Customer & Contact Center, Customer Service, Workforce Performance, Call Center, Contact Center, Contact Center Analytics, CRM, Desktop Analytics, Text Analytics, Unified Communications, Workforce Management

Rather than make predictions for 2012, which are everywhere right now, I want to look back at some of the surprising events of 2011. I think it’s worth considering what happened that wasn’t expected and what these things might tell us about the information technology market. Here, in no particular order, are the most important ones I see.

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Topics: Big Data, Mobile, Predictive Analytics, Sales Performance, Social Media, Supply Chain Performance, Operational Performance, Business Analytics, Business Intelligence, Business Performance, Customer & Contact Center, Financial Performance, Workforce Performance

Cloud-based systems have arrived as an option for how organizations source their IT systems, now and in the future. Proponents of the cloud – of which I am one – will tell you they have several major advantages over conventional on-premises systems. They require little upfront capital expenditure; the major costs come as a monthly “rental” charge for using the service rather than an annual license; they are less demanding on in-house resources; they are quicker, easier and less risky to...

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Topics: Predictive Analytics, Social Media, Customer Analytics, Customer Data Management, Customer Experience, Customer Feedback Management, Social CRM, Speech Analytics, Voice of the Customer, Operational Performance, Analytics, Business Mobility, Cloud Computing, Customer & Contact Center, Customer Service, Call Center, Contact Center, Contact Center Analytics, CRM, Desktop Analytics, Text Analytics, Unified Communications, Workforce Management

At its annual Influencer’s Summit in Boston, SAP offered multiple perspectives on where the company’s strategy and products are heading. Overall, I was struck by the essential similarities to its message on its strategic direction a decade ago. The overarching objective in its roadmap now, as then, is to have information technology increasingly adapt to the needs of individual users and how they choose to execute established/repetitive or ad-hoc processes, rather than forcing them to adapt to...

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Topics: Performance Management, Planning, Predictive Analytics, Sales Performance, SAP, Supply Chain Performance, ERP, GRC, Office of Finance, Operational Performance, Business Analytics, Business Collaboration, Business Mobility, Business Performance, Cloud Computing, Enterprise Software, Financial Performance, In-memory, Mobility, Workforce Performance, finance, Risk, Financial Performance Management

The old proverb “When all you have is a hammer, everything looks like a nail” applies well to the management of customer relationships. If business technology vendors are to be believed, managing customer relationships involves – indeed, is driven by – software. 

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Topics: Predictive Analytics, Social Media, Customer Analytics, Customer Experience, Social CRM, Speech Analytics, Voice of the Customer, Analytics, Cloud Computing, Customer & Contact Center, Customer Service, Contact Center Analytics, CRM, Desktop Analytics, Text Analytics

NICE Systems last week announced an agreement to acquire Merced Systems, a provider of business applications for customer service and sales organizations. This acquisition slipped by with little fanfare, but it marks a significant milestone for NICE, a major provider of applications and technology for call centers and a player in their evolution into multichannel contact centers. Building on a good 2010, as my colleague Richard Snow noted, NICE expects to reach almost $800 million of revenue in...

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Topics: Predictive Analytics, Sales, Sales Performance, Social Media, Customer Analytics, Customer Data Management, Customer Experience, Customer Feedback Management, Marketing, Merced Systems, NICE Systems, Revenue Performance, Sales Compensation, Sales Force Automation, Social CRM, Speech Analytics, Voice of the Customer, Operational Performance, Analytics, Business Analytics, Business Collaboration, Business Mobility, Business Performance, Cloud Computing, Customer & Contact Center, Customer Service, Financial Performance, Workforce Performance, Call Center, CFO, CMO, Contact Center, Contact Center Analytics, CRM, Desktop Analytics, Sales Performance Management, SFA, Text Analytics, Unified Communications, Workforce Management

Actuate, which develops commercial versions of the open source Business Intelligence Reporting Tool (BIRT) technology, recently held a one-day event in London. My colleague Mark Smith covers Actuate’s products, but I was impressed by the simplicity of the company’s message, the core of which is that the ActuateOne suite of products allows companies to extract data from multiple data sources, use one product to analyze it and present the results in multiple formats in response to individual user...

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Topics: Predictive Analytics, Social Media, Customer Analytics, Customer Data Management, Customer Experience, Customer Feedback Management, Social CRM, Speech Analytics, Voice of the Customer, Operational Performance, Analytics, Business Mobility, Cloud Computing, Customer & Contact Center, Customer Service, Call Center, Contact Center, Contact Center Analytics, CRM, Desktop Analytics, Text Analytics, Unified Communications, Workforce Management

It never ceases to amaze me, when you ask people what their business objectives are and how they are measured, how often the two have little in common. This has been the case consistently in the research I have carried out over the last eight years into customer service and contact center performance. The main objective for contact centers is to improve customer satisfaction, but the key performance metric is average call-handling time. Despite hours of contemplation and discussions with...

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Topics: Predictive Analytics, Social Media, Customer Analytics, Customer Data Management, Customer Experience, Customer Feedback Management, Social CRM, Speech Analytics, Voice of the Customer, Operational Performance, Analytics, Cloud Computing, Customer & Contact Center, Customer Service, Call Center, Contact Center, Contact Center Analytics, CRM, Desktop Analytics, Text Analytics, Unified Communications, Workforce Management

For years building a call center was technically challenging as it typically involved integrating proprietary products from multiple vendors. Although more vendors now offer integrated solutions, even these can difficult to administer and use because of variable user interfaces and gaps in the integration. These challenges become harder as companies expand their contact centers to support multiple communication channels and agents of several kinds dispersed over multiple locations.

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Topics: Predictive Analytics, Social Media, Customer Analytics, Customer Experience, Social CRM, Speech Analytics, Voice of the Customer, Operational Performance, Analytics, Business Mobility, Cloud Computing, Customer & Contact Center, Customer Service, Call Center, Contact Center, Contact Center Analytics, CRM, Desktop Analytics, Text Analytics, Unified Communications, Zeacom

IBM’s Information on Demand (IOD) event showcased its products for both information management and business intelligence. I’ve covered the information management aspects of IOD in a separate post. In this post I’ll look at the business intelligence aspects. Earlier this year IBM made predictive analytics a major focus of its Business Analytics analyst summit, an event that often foreshadows the IOD messages. In addition to predictive analytics, IBM emphasized both large-scale “big” data and a...

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Topics: Predictive Analytics, Sales Performance, Social Media, Supply Chain Performance, Operational Performance, Business Analytics, Business Intelligence, Business Performance, Customer & Contact Center, Financial Performance, Workforce Performance

IBM made more than two dozen announcements in conjunction with its recent Information on Demand (IOD) event. In this post I’ll address the impact of IOD from an information management perspective and in a separate post shortly from an analytics perspective. Trying to organize the mass of information IBM brought forth at IOD 2011, I group the announcements into three general categories of enhancements and extensions to InfoSphere, big data (which is technically part of InfoSphere) and databases.

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Topics: Predictive Analytics, Social Media, Supply Chain Performance, Operational Performance, Business Analytics, Business Intelligence, Business Performance, Customer & Contact Center, Financial Performance, Workforce Performance

It has been a busy year for relationships among vendors in the contact center market and despite tough economic times, it doesn’t look like things are slowing down. For example, early this year Salesforce.com acquired Radian6 to strengthen its position as a supplier for what it calls “the social enterprise.” This is not a term I particularly like, but there is no doubt CEOs are interested in understanding what customers are saying about them on social media, and so this looks like a smart move....

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Topics: Predictive Analytics, Social Media, Customer Analytics, Customer Data Management, Customer Experience, Customer Feedback Management, Social CRM, Speech Analytics, Voice of the Customer, Operational Performance, Analytics, Business Mobility, Cloud Computing, Customer & Contact Center, Customer Service, Workforce Performance, Call Center, Contact Center, Contact Center Analytics, CRM, Desktop Analytics, Text Analytics, Unified Communications, Workforce Management, [Vendor references]

Throughout this year we have seen more vendors begin to offer a contact center in the cloud. The latestis Transera, which offers an integrated set of products that focuses on enabling interactions for customer service agents. It has four main groups of products: operations management, agent management, media and call management, and routing and queuing. 

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Topics: Predictive Analytics, Customer Analytics, Customer Data Management, Customer Experience, Customer Feedback Management, Social CRM, Speech Analytics, Voice of the Customer, Operational Performance, Analytics, Cloud Computing, Customer & Contact Center, Customer Service, Call Center, Contact Center, Contact Center Analytics, CRM, Desktop Analytics, Text Analytics, Unified Communications, Workforce Management, Transera

Cloud computing offers companies opportunity to innovate in the ways their contact centers handle customer interactions. Systems vendors have been gradually moving call and other interaction management to the cloud, along with some of the core applications required to operate a contact center such as call recording, workforce management and analytics. Interactive Intelligence is one of the front runners in this market with its Customer Interaction Center. To approach potential customers that...

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Topics: Predictive Analytics, Customer Analytics, Customer Data Management, Customer Experience, Customer Feedback Management, Social CRM, Speech Analytics, Voice of the Customer, Operational Performance, Analytics, Business Mobility, Cloud Computing, Customer & Contact Center, Customer Service, Call Center, Contact Center, Contact Center Analytics, CRM, Desktop Analytics, Interactive Intelligence, Text Analytics, Unified Communications, Workforce Management

I find that customer experience management (CEM) means different things to people. Recently I attended a seminar organized by Rapide, a U.K. technology vendor that specializes in helping companies improve their interactions with customers. The seminar included talks from speakers I don’t normally associate with CEM, and they opened up a new perspective that revolves around a concept I first explored while working at Price Waterhouse Consulting: Moments of Truth.

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Topics: Predictive Analytics, Social Media, Customer Analytics, Customer Data Management, Customer Experience, Customer Feedback Management, Social CRM, Speech Analytics, Voice of the Customer, Rapide, Operational Performance, Analytics, Business Mobility, Cloud Computing, Customer & Contact Center, Customer Service, Call Center, Contact Center, Contact Center Analytics, CRM, Desktop Analytics, Text Analytics, Unified Communications, Workforce Management

In a move that may indicate the beginning of a new wave of activity in the business intelligence (BI) market, Oracle has announced its intention to acquire Endeca. Founded in 1999, Endeca originally focused on search capabilities for online commerce. Users selected a product attribute, and the software automatically revised the remaining selection criteria based on products matching the previous selection. We have been covering Endeca as part of the BI and information applications marketing....

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Topics: Predictive Analytics, Sales Performance, Social Media, Supply Chain Performance, Operational Performance, Business Analytics, Business Intelligence, Business Performance, Customer & Contact Center, Financial Performance, Information Applications, Workforce Performance

Teradata recently held its Partners User Group meeting (Twitter hashtag #TDPUG11) in San Diego. Analysts were briefed previously on some of the announcements, which I covered in an earlier post.

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Topics: Big Data, Data Warehousing, Predictive Analytics, Sales Performance, Supply Chain Performance, Teradata, Operational Performance, Business Analytics, Business Intelligence, Business Performance, Customer & Contact Center, Financial Performance, Workforce Performance, Digital Technology

I have spent the last two days at the U.K.’s largest contact center trade show, which this year moved to London Olympia from the NEC in Birmingham. While the overall number of visitors seemed to be down, some exhibitors told me there were more high-level attendees with serious intent to purchase.

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Topics: Predictive Analytics, SAP, Social Media, Customer Analytics, Customer Data Management, Customer Experience, Customer Feedback Management, Social CRM, Speech Analytics, Voice of the Customer, Call Copy, Enghouse interactive, Enkata, Genesys, NewVoicemedia, Nexidia, ShoreTel, Operational Performance, Analytics, Business Mobility, Cloud Computing, Customer & Contact Center, Customer Service, Workforce Performance, Call Center, Cisco, Contact Center, Contact Center Analytics, CRM, Desktop Analytics, Interactive Intelligence, Text Analytics, Unified Communications, Workforce Management, and Verint, cTalk Ltd, Noble Systems, Digital Technology

Interactive Intelligence recently released version 4.0 of its Customer Interaction Center (CIC). CIC provides companies with integrated communications and contact center functions that can be deployed on-premises, in the cloud or in a hybrid environment divided between them. 

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Topics: Predictive Analytics, Customer Analytics, Customer Data Management, Customer Experience, Customer Feedback Management, Social CRM, Speech Analytics, Voice of the Customer, Operational Performance, Analytics, Cloud Computing, Customer & Contact Center, Customer Service, Call Center, Contact Center, Contact Center Analytics, CRM, Desktop Analytics, Interactive Intelligence, Text Analytics, Unified Communications, Workforce Management

Recently Verint announced its intent to acquire GMT, a provider of workforce management products. My initial reaction was that Verint was primarily interested in acquiring GMT’s customer base to extend its already large share of the workforce management market. In a briefing Verint confirmed this but said there are other reasons behind its move as well.

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Topics: Predictive Analytics, Customer Analytics, Customer Data Management, Customer Experience, Customer Feedback Management, Social CRM, Speech Analytics, Voice of the Customer, Operational Performance, Analytics, Cloud Computing, Customer & Contact Center, Customer Service, Workforce Performance, Call Center, Contact Center, Contact Center Analytics, CRM, Desktop Analytics, Text Analytics, Unified Communications, Workforce Management, Verint

NICE Systems has agreed to acquire Fizzback, a specialist vendor of customer feedback management software. On first read this appears to be another acquisition to gain market share, as NICE already provides a customer feedback tool; however, Fizzback’s customer base is much smaller than NICE’s, so this looks unlikely. Representatives of NICE explained to me that the acquisition is part of its long-term strategy to enhance its customer feedback management capabilities and to build a stronger...

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Topics: Predictive Analytics, Customer Analytics, Customer Data Management, Customer Experience, Customer Feedback Management, NICE Systems, Social CRM, Speech Analytics, Voice of the Customer, Analytics, Cloud Computing, Customer & Contact Center, Customer Service, Call Center, Contact Center, Contact Center Analytics, CRM, Desktop Analytics, Text Analytics, Unified Communications, Workforce Management

Recently Karmasphere introduced version 1.5 of its Analyst product which helps organizations analyze “big data” stored in Hadoop, the open source large-scale data processing technology. An independent software vendor focused exclusively on the Hadoop market, Karmasphere made available a community edition of its developer product in September 2009 and launched the company in March 2010. Since then it has been active and visible in Hadoop-related events including Hadoop World, the IBM Big Data...

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Topics: Big Data, Data Warehousing, Predictive Analytics, Sales Performance, Social Media, Supply Chain Performance, Operational Performance, Business Analytics, Business Intelligence, Business Performance, Customer & Contact Center, Financial Performance, Karmasphere, Workforce Performance, Strata+Hadoop

As he opened last week’s Cloudforce 2011 conference in London, Salesforce.com CEO Marc Benioff declared that companies “must become social or die.” He reiterated the message in answer to a direct question I put to him during lunch with the media and analysts. I have heard several of his keynotes, and reviewed my colleague analysis from recent Dreamforce conference in San Francisco. and this one had a distinct change of emphasis. Benioff seems to feel that the cloud argument has been won, his...

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Topics: Predictive Analytics, Salesforce.com, Social Media, Customer Analytics, Customer Data Management, Customer Experience, Customer Feedback Management, Social CRM, Speech Analytics, Voice of the Customer, Operational Performance, Analytics, Business Mobility, Cloud Computing, Customer & Contact Center, Customer Service, Call Center, Contact Center, Contact Center Analytics, CRM, Desktop Analytics, Text Analytics, Unified Communications, Workforce Management

Ventana Research’s benchmark research into agent performance management shows that most companies recognize the vital role contact center agents play in creating good customer experiences and thus good business outcomes. The research also shows that only the most mature companies have put in place processes and metrics that encourage behaviors that deliver such business outcomes. Furthermore, the research shows that companies are held back from adopting more customer-related metrics because...

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Topics: Predictive Analytics, Customer Analytics, Customer Data Management, Customer Experience, Customer Feedback Management, Merced Systems, Social CRM, Speech Analytics, Voice of the Customer, Operational Performance, Analytics, Cloud Computing, Customer & Contact Center, Customer Service, Call Center, Contact Center, Contact Center Analytics, CRM, Desktop Analytics, Text Analytics, Unified Communications, Workforce Management

Splunk may be one of the biggest software companies you’ve never heard of. I’ve been following the seven-year-old company for over six months now and recently attended its second annual user conference. Splunk focuses on analyzing large volumes of machine-generated data in underlying applications and systems, which includes application and system logs, network traffic, sensor data, click streams and other loosely structured information sources. Many of these “big data” sources are the same...

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Topics: Big Data, Predictive Analytics, Sales Performance, Social Media, Supply Chain Performance, IT Performance, Operational Performance, Business Analytics, Business Intelligence, Business Performance, Customer & Contact Center, Machine data, Operational Intelligence, IT Performance Management (ITPM)

LinkedIn’s CRM experts group is hosting an active discussion about what are the top three CRM systems. Along with the blatant promotion of certain well-known products, you can’t fail to notice that the term means different things to people, and that systems gathered under this acronym may cover a range of capabilities. A closer examination of the discussion shows that a majority of discussion participants associate CRM with sales force automation, fewer with customer service and the fewest with...

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Topics: Predictive Analytics, Social Media, Customer Analytics, Customer Data Management, Customer Experience, Customer Feedback Management, Social CRM, Speech Analytics, Voice of the Customer, Dovetail, Operational Performance, Analytics, Business Mobility, Cloud Computing, Customer & Contact Center, Customer Service, Workforce Performance, Call Center, Contact Center, Contact Center Analytics, CRM, Desktop Analytics, Text Analytics, Unified Communications, Workforce Management

Even here in the U.K., we are well aware that Salesforce.com’s annual event Dreamforce is happening this week in San Francisco. Unfortunately I couldn’t be there, but a contingent of the Ventana Research team is there, and from what they are telling me it is quite a show. I have written before that Salesforce has the best marketing machine in the world, let alone the software industry, and it seems to have topped previous events. The company undoubtedly has changed the way many companies think...

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Topics: Predictive Analytics, Sales, Salesforce.com, Social Media, Customer Analytics, Customer Data Management, Customer Experience, Customer Feedback Management, Social CRM, Speech Analytics, Voice of the Customer, Operational Performance, Analytics, Business Mobility, Cloud Computing, Customer & Contact Center, Customer Service, Workforce Performance, Call Center, Contact Center, Contact Center Analytics, CRM, Desktop Analytics, Text Analytics, Unified Communications, Workforce Management

In the past companies had two basic choices in how to provide call center services: internally or by outsourcing the service, typically to a company based where labor costs are low. Recently some companies have supplemented their in-company resources with home-based agents, and a growing number of providers offer outsourcing services in-country, for example, in North America. From a technology perspective as well, companies had two choices: on-premises or the outsourcer using its own...

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Topics: Predictive Analytics, Customer Analytics, Customer Data Management, Customer Experience, Customer Feedback Management, Social CRM, Speech Analytics, Voice of the Customer, Operational Performance, Analytics, Cloud Computing, Customer & Contact Center, Customer Service, Call Center, Contact Center, Contact Center Analytics, CRM, Desktop Analytics, Text Analytics, Unified Communications, Workforce Management, [Vendor references]

We cite collaboration as one of five key technology influences on the business intelligence (BI) market, and I get many questions about collaboration and BI from end users and vendors alike. The rise of social media websites such as Facebook and Twitter has raised awareness of collaborative platforms and created a critical mass of participants, which is a necessary ingredient for successful collaboration. However, I have to point out that consumer-oriented social media tools do not provide all...

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Topics: Predictive Analytics, Sales Performance, Social Media, Supply Chain Performance, Operational Performance, Business Analytics, Business Intelligence, Business Mobility, Business Performance, Collaboration, Customer & Contact Center, Financial Performance, Workforce Performance

In preparation for conducting a benchmark research study on predictive analytics, I’ve been speaking with vendors in this market segment to gather background. One of them is Opera Solutions, which I was not familiar with despite having worked in predictive analytics for more than 10 years. I was surprised to learn the company claims to be generating $100 million in revenue annually. Founded in 2004, Opera provides predictive analytics as a service, employing a staff of approximately 150 data...

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Topics: Predictive Analytics, Sales Performance, Social Media, Supply Chain Performance, Operational Performance, Business Analytics, Business Intelligence, Business Performance, Customer & Contact Center, Financial Performance, Workforce Performance

I recently attended Teradata’s Third-Party Influencers Meeting (Twitter Hashtag #TD3PI) in Las Vegas where the company updated industry analysts and consultants on upcoming product plans and the status of two product lines it added via acquisition in the past year. Randy Lea, Teradata’s VP of product management and marketing, provided a company overview recapping highlights and defining the corporate strategy building on its work in 2010 that my colleague assessed. Teradata focuses on three...

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Topics: Predictive Analytics, Sales Performance, Social Media, Supply Chain Performance, Operational Performance, Business Analytics, Business Intelligence, Business Performance, Customer & Contact Center, Financial Performance, Workforce Performance

In the past year various vendors have begun to offer some or all of the systems required to build and run a contact center through a cloud-based service. I recently came across another one, Echopass, which has a different operating model than I am used to. Its core services are provided by products from two vendors that as yet don’t provide their products in the cloud: Genesys, which supplies call routing, intelligent front-door and intelligent back-office workflow, and Verint for workforce...

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Topics: Predictive Analytics, Social Media, Customer Analytics, Customer Data Management, Customer Experience, Customer Feedback Management, Social CRM, Speech Analytics, Voice of the Customer, Echopass, Operational Performance, Analytics, Business Mobility, Cloud Computing, Customer & Contact Center, Customer Service, Call Center, Contact Center, Contact Center Analytics, CRM, Desktop Analytics, Text Analytics, Unified Communications, Workforce Management

Envision is an established provider of workforce optimization (WFO) products and last year was rated a “Hot” vendor in the Ventana Research Value Index for Agent Performance Management (APM). Its suite of products includes recording, quality monitoring, workforce management, coaching, e-learning, performance management and speech analytics. The WFO market is now quite competitive, and along with other vendors, Envision recently announced some product improvements. As well as a number of...

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Topics: Predictive Analytics, Social Media, Customer Analytics, Customer Data Management, Customer Experience, Customer Feedback Management, Social CRM, Speech Analytics, Voice of the Customer, Envision, Operational Performance, Analytics, Business Mobility, Cloud Computing, Customer & Contact Center, Customer Service, Call Center, Contact Center, Contact Center Analytics, CRM, Desktop Analytics, Text Analytics, Unified Communications, Workforce Management

It has taken me a long time to recognize that companies function through a series of processes, mostly executed by people (employees) and supported by information and systems. I was familiar with process maps that show activities happening in sequence and branches caused by certain conditions, but these were mainly paper exercises; my working assumption was that people “just get on with things.” But looking closely reveals that getting on with things happens in processes. To help make this...

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Topics: Predictive Analytics, Social Media, Customer Analytics, Customer Data Management, Customer Experience, Customer Feedback Management, Social CRM, Speech Analytics, Voice of the Customer, Operational Performance, Analytics, Business Mobility, Cloud Computing, Customer & Contact Center, Customer Service, Call Center, Contact Center, Contact Center Analytics, CRM, Desktop Analytics, Text Analytics, Unified Communications, Workforce Management, OpenConnect

Vitria is one of a small group of vendors offering a type of analytics called operational intelligence. The term is not widely known, although Ventana Research has defined and tracked this market for many years and researched. We define operational intelligence (OI) as “a set of event-centered information and analytics processes operating across the network that enable people to take effective actions and make better decisions.” For its part Vitria defines OI as “a new type of real-time,...

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Topics: Predictive Analytics, Social Media, Customer Analytics, Customer Data Management, Customer Experience, Customer Feedback Management, Social CRM, Speech Analytics, Vitria, Voice of the Customer, Operational Performance, Analytics, Business Mobility, Cloud Computing, Customer & Contact Center, Customer Service, Call Center, Contact Center, Contact Center Analytics, CRM, Desktop Analytics, Text Analytics, Unified Communications, Workforce Management

Salesforce.com (SFDC) brought five customers to a recent U.K. analyst event to talk about how they used different SFDC services to solve what turned out to be down-to-earth business issues. SFDC of course would have us believe that moving to the cloud is the only way to purchase IT systems (in its parlance, services) and that it has all the services to solve any issue concerning CRM, sales management, customer service, contact center, social media or software development. Only individual users...

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Topics: Predictive Analytics, Salesforce.com, Customer Analytics, Customer Data Management, Customer Experience, Customer Feedback Management, Social CRM, Speech Analytics, Voice of the Customer, Analytics, Cloud Computing, Customer & Contact Center, Customer Service, Call Center, Contact Center, Contact Center Analytics, CRM, Desktop Analytics, Text Analytics, Unified Communications, Workforce Management

I’m no great fan of three-letter acronyms, so I wondered what KANA Software means by positioning itself as the leader in service experience management (SEM), which is a term I had not heard. I have thought of KANA as a CRM vendor, but through a program of internal development and two acquisitions, it has transformed itself into something quite different. The acquisition of Lagan in 2010 added additional CRM functionality, enterprise case management and a track record of providing solutions to...

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Topics: Predictive Analytics, Social Media, Customer Analytics, Customer Data Management, Customer Experience, Customer Feedback Management, Social CRM, Speech Analytics, Voice of the Customer, Kana, Lagan, Analytics, Business Mobility, Cloud Computing, Customer & Contact Center, Customer Service, Call Center, Contact Center, Contact Center Analytics, CRM, Desktop Analytics, Text Analytics, Unified Communications, Workforce Management, Overtone

About a year ago I wrote that CallCopy had emerged as a major vendor of agent performance management (APM) software. Ventana Research has updated its definition of APM to mean the people, processes, information and systems involved in effectively managing the entire workforce that handles customer interactions, and this includes interaction recording, quality monitoring, workforce management, training, coaching, incentive management , agent-related analytics and performance management. Our...

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Topics: Predictive Analytics, Customer Analytics, Customer Data Management, Customer Experience, Customer Feedback Management, Social CRM, Speech Analytics, Voice of the Customer, Call Copy, Operational Performance, Analytics, Cloud Computing, Customer & Contact Center, Customer Service, Call Center, Contact Center, Contact Center Analytics, CRM, Desktop Analytics, Text Analytics, Unified Communications, Workforce Management

Verint recently announced that it has acquired Vovici,a vendor of enterprise feedback management systems. In light of the fact that Verint was recently rated the top vendor in the Ventana Research Value Index for Customer Feedback Management, at first it seemed odd that the company would buy another that offers a very similar product. In this situation the business driver often is to gain market share, with the net effect being that customers are left with fewer choices. Looking deeper reveals...

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Topics: Predictive Analytics, Social Media, Customer Analytics, Customer Experience, Customer Feedback Management, Speech Analytics, Voice of the Customer, Operational Performance, Analytics, Cloud Computing, Customer & Contact Center, Call Center, Contact Center, Contact Center Analytics, Desktop Analytics, Text Analytics, Verint, Vovici

Our recently completed benchmark research on how finance departments use analytics makes clear that while they have a distinct competence in this area and execute the basics well, a majority of companies are immature in their use of advanced finance analytics. Regardless of industry or geography, few finance departments use predictive analytics or delve into important areas such as strategic profitability management. This is of note because these undertakings are no longer difficult to pursue:...

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Topics: Predictive Analytics, Office of Finance, Finance Analytics, Analytics, Business Analytics, Business Performance, Financial Performance, CFO

In my research area, a lot is said and written these days about optimizing the customer experience. Some say it is done by improving key performance metrics such as customer satisfaction (CSAT), net promoter score (NPS) and customer effort score (CES). Others say customer experience management (CEM) is the “new CRM”; some think it is part of a multichannel service strategy, and for others it is as simple as managing social media. In my view it takes all of these, and other efforts, to optimize...

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Topics: Predictive Analytics, Social Media, Customer Analytics, Customer Experience, Social CRM, Speech Analytics, Voice of the Customer, Cicero, Cincom, MarketTools, ResponseTek, Operational Performance, Analytics, Cloud Computing, Customer & Contact Center, Customer Service, Call Center, Contact Center, Contact Center Analytics, CRM, Desktop Analytics, Text Analytics, Upstream Works, Confirmit, OpenSpan, Verint

SnapLogic, a cloud-based data integration vendor, has extended its product linewith new data quality capabilities. This is worth comment because SnapLogic sits at the intersection of two recent trends in information management.

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Topics: Predictive Analytics, Sales Performance, Social Media, Supply Chain Performance, Operational Performance, Business Analytics, Business Intelligence, Business Performance, Customer & Contact Center, Financial Performance, Information Management, Workforce Performance

If you look at the SAS Institute home page it appears easy to identify what it does – “the leader in business analytics software and services, and the largest independent vendor in the business intelligence market.” My colleague recently assessed them as the multi-billion dollar business analytics supplier which I would agree. However, at the company’s recent analyst event I learned that this description only skims the surface of what it really does; even SAS CMO Jim Davis said he couldn’t be...

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Topics: Predictive Analytics, SAS, Social Media, Customer Analytics, Customer Data Management, Customer Experience, Social CRM, Speech Analytics, Voice of the Customer, Operational Performance, Analytics, Business Mobility, Cloud Computing, Customer & Contact Center, Customer Service, Call Center, Contact Center, Contact Center Analytics, CRM, Desktop Analytics, Text Analytics

Ventana Research recently completed groundbreaking benchmark research on how finance organizations use analytics these days. Of course, analytics have been a mainstay of finance organizations since people started using accounting ratios to assess the health and performance of a business. Yet perhaps because traditional analytics are so deeply entrenched, finance departments execute the basics well but don’t take the next step to fully utilize the power of information technology to use analytics...

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Topics: Predictive Analytics, Sales Performance, SAP, SAS, Office of Finance, Operational Performance, Analytics, Business Intelligence, Business Performance, Financial Performance, IBM, Oracle, Cognos, Financial Performance Management

In the customer service and contact center markets we used to talk about phone calls, letters, faxes and email; now we talk about “communications,” “interactions,” “contacts” and “touch points.”These four terms are used almost interchangeably to talk generally about actions involving customers and can include all forms of communication – calls, documents (letters, email, forms and surveys), website visits, text messages, instant message (chat) sessions and social media – over all types of...

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Topics: Predictive Analytics, Social Media, Customer Analytics, Customer Experience, Customer Feedback Management, Social CRM, Speech Analytics, Voice of the Customer, Operational Performance, Analytics, Customer & Contact Center, Customer Service, Call Center, Contact Center, Contact Center Analytics, CRM, Desktop Analytics, Text Analytics

Two software applications I follow, price and revenue optimization (PRO) and sales compensation and incentives, can be highly complementary when used together. Unfortunately, since they typically are developed and sold by different kinds of software vendors, scant attention has been paid to the value of using them in tandem. I advise companies that have adopted a PRO strategy to use an incentive management application also to support and reinforce their optimization efforts. It is also part of...

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Topics: Predictive Analytics, Sales, Sales Performance, Human Capital Management, Office of Finance, Operational Performance, Business Analytics, Business Performance, Financial Performance, Workforce Performance, Price Optimization, Profitability

While the contact center business is not the most dynamic market, it is undergoing more changes than I have ever seen. One of the biggest changes is coming about because of cloud computing. This trend was led by salesforce.com, and the impact is now being felt in the contact center market as more vendors start to provide a “contact center in the cloud.” I recently wrote about inContact , one of the first vendors to provide a full contact center in the cloud. Recently inContact announced an...

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Topics: Predictive Analytics, Social Media, Customer Analytics, Customer Data Management, Customer Experience, Customer Feedback Management, Social CRM, Speech Analytics, Voice of the Customer, InContact, Operational Performance, Analytics, Cloud Computing, Customer & Contact Center, Customer Service, Call Center, Contact Center, Contact Center Analytics, CRM, Desktop Analytics, Text Analytics, Unified Communications, Workforce Management, Siemens Enterprise Communications

Cloudera is riding the wave of big data. I first learned about the company while working at Vertica, one of Cloudera’s partners. Customers that managed large amounts of structured relational data also needed to process large amounts of semistructured data such as the type found in web logs and application logs. The emerging channel of social media provided another source of data lacking the structure that would lend itself to analysis in a relational database. Other organizations needed to...

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Topics: Big Data, Predictive Analytics, Sales Performance, Social Media, Supply Chain Performance, Operational Performance, Business Analytics, Business Intelligence, Business Performance, CDH3, Cloudera, Customer & Contact Center, Information Management, Strata+Hadoop

I recently attended IBM’s analyst summit on business analytics. Since last year’s event was largely a preview of Cognos 10, which was several years in the making, I wondered what this year’s event would be about. IBM focused much of the attention on predictive analytics, strengthened by its acquisition of SPSS. My colleague Robert Kugel covered another theme from the event in his post on Cognos Planning

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Topics: Predictive Analytics, Sales Performance, Social Media, Supply Chain Performance, Operational Performance, Business Analytics, Business Intelligence, Business Performance, Customer & Contact Center, Financial Performance, Workforce Performance

My research into customer analytics shows three important things: Text analytics are at the early adopter stage; companies still use spreadsheets as their main tool for analysis; and to move companies away from spreadsheets vendors must offer tools that are as easy to use as spreadsheets. That’s no easy task, given the huge volume and varied types of text data companies are generating and the complexity of analyzing unstructured text. However, the research also indicates that this challenge...

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Topics: Predictive Analytics, Social Media, Customer Analytics, Customer Experience, Social CRM, Speech Analytics, Voice of the Customer, Operational Performance, Analytics, Business Mobility, Cloud Computing, Customer & Contact Center, Customer Service, Call Center, Contact Center, Contact Center Analytics, CRM, Desktop Analytics, Text Analytics

Predictive analytics can be valuable tools for performance management. When the term is applied to planning or forecasting, many people take it to mean the ability to automate plans or forecasts. It’s true that using predictive analytics correctly is likely to enhance their accuracy, but these techniques do not eliminate the need for judgment; in practice, many organizations may realize more value from applying predictive analytics to assess results than to forecast outcomes. Moreover, as...

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Topics: Big Data, Performance Management, Planning, Predictive Analytics, Sales Performance, Supply Chain Performance, Budgeting, Operational Performance, Analytics, Business Analytics, Business Intelligence, Business Performance, Customer & Contact Center, Financial Performance, Information Management, Workforce Performance, Financial Performance Management, Integrated Business Planning

I think one of best epigrams attributed to Mark Twain is, “Everyone talks about the weather but nobody ever does something about it.” This also has relevance to the situation with corporate planning and budgeting. Bemoaning its lack of value and calling for some sort of change goes back a long way, but few companies have matured their process. In the 1970s something called “zero-based budgeting” was all the rage in business and accounting periodicals. It was energetically advocated by President...

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Topics: Planning, Predictive Analytics, Sales, Sales Performance, Supply Chain Performance, Office of Finance, Budgeting, contingency planning, Operational Performance, Business Analytics, Business Collaboration, Business Performance, Financial Performance, CFO, finance, Financial Performance Management, Integrated Business Planning

I have been writing quite a lot lately about the contact center in the cloud. Now it seems that more vendors are moving in this direction. One of them, inContact has evolved from a telecommunications carrier into a software vendor and now has a suite of products for a contact center in the cloud. It includes many of the necessary communications management capabilities (such as ACD, IVR, CTI and autodial) as well as key workforce optimization applications such as interaction recording, quality...

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Topics: Predictive Analytics, Social Media, Customer Analytics, Customer Experience, Customer Feedback Management, Social CRM, Speech Analytics, Voice of the Customer, InContact, Operational Performance, Analytics, Business Mobility, Cloud Computing, Customer & Contact Center, Customer Service, Workforce Performance, Call Center, Contact Center, Contact Center Analytics, Desktop Analytics, Text Analytics, Unified Communications, Workforce Management

In March U.S.-based text analytics vendor Clarabridge opened an office in the U.K. and recently celebrated it at the British Library in London. Sid Banerjee, the company’s founder and CEO, brought over key members of his team along with representatives of three U.S. clients. He explained that the new office would enable the company to support international clients better and allow expansion into European countries. The three clients then gave detailed presentations on how they use the...

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Topics: Predictive Analytics, Social Media, Customer Analytics, Customer Experience, Social CRM, Speech Analytics, Voice of the Customer, Clarabridge, Operational Performance, Analytics, Business Analytics, Business Intelligence, Customer & Contact Center, Customer Service, Information Management, Call Center, Contact Center, Contact Center Analytics, CRM, Desktop Analytics, Text Analytics

The Directors Club of the U.K. recently held its inaugural National Customer Show in London. The event was well attended and attracted sponsorship from some of the biggest vendors in the contact center industry; among them were platinum sponsors Interactive Intelligence and salesforce.com, and session sponsors Nexidia and SwordCiboodle. I noticed three common themes, covering very different aspects of managing the customer, and I’ll hit the highlights of each.

Social Media

These days you can’t...

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Topics: Predictive Analytics, Sales Performance, Salesforce.com, Customer Analytics, Customer Experience, Customer Feedback Management, Social CRM, Speech Analytics, Voice of the Customer, Nexidia, Operational Performance, Analytics, Business Analytics, Business Collaboration, Business Performance, Cloud Computing, Customer & Contact Center, Customer Service, Call Center, Contact Center, Contact Center Analytics, CRM, Desktop Analytics, Interactive Intelligence, Text Analytics, Workforce Management, SwordCiboodle

Recently Verint Witness Actionable Solutions announced the latest release of its Impact 360 Workforce Optimization software, which it calls the first  “fifth-generation” product in this space.

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Topics: Predictive Analytics, Social Media, Customer Analytics, Customer Experience, Customer Feedback Management, Social CRM, Speech Analytics, Voice of the Customer, Operational Performance, Analytics, Business Performance, Cloud Computing, Customer & Contact Center, Customer Service, Workforce Performance, Call Center, Contact Center, Contact Center Analytics, CRM, Desktop Analytics, Text Analytics, Workforce Management, Verint

As part of our largest-ever research study on business analytics, which surveyed more than 2,600 organizations covering the maturity and competency of business, IT and vertical industries, we looked at how IT is applying analytics to support their own business activities. One of the things we found is that, charged with enabling business units to use information systems as effectively as possible, the IT department, like the shoemaker’s barefoot children in the old tale, typically stands last...

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Topics: Predictive Analytics, IT Performance, Analytics, Business Analytics, Business Intelligence, Business Performance, Information Applications, Information Management, Information Technology, IT Analytics, IT Service Management, ITIL, ITSM, IT Performance Management (ITPM)

Unless you have been on a long vacation somewhere without newspapers, mobile phones or the Internet, you must have noticed all the buzz about social media – some of it factual and lots of it hype. Over a billion people use Facebook. There are many millions of tweets on Twitter every day, and YouTube has become the place to share videos, whether for a laugh, for a company’s brand awareness or for training courses. The key question for business is how much of this is useful for commerce and how...

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Topics: Predictive Analytics, Sales Performance, Salesforce.com, SAS, Social Media, Customer Analytics, Customer Experience, Social CRM, Speech Analytics, Voice of the Customer, Clarabridge, Genesys, ResponseTek, RightNow, Operational Performance, Analytics, Business Collaboration, Business Intelligence, Business Mobility, Cloud Computing, Customer & Contact Center, Customer Service, Information Applications, Call Center, Contact Center, Contact Center Analytics, CRM, Desktop Analytics, Text Analytics

Twenty years ago, when I began consulting in the contact center industry, building a call center was a hard, resource-consuming task. Just to begin handling calls required purchasing lots of proprietary equipment, such as PBXs and automatic call distributors (ACDs), as well as software for computer/telephony integration (CTI) and business applications such as case management and CRM – and then spending a lot of time and effort integrating them. Lots of tasks were managed using spreadsheets, and...

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Topics: Predictive Analytics, Sales Performance, SAP, Social Media, Customer Analytics, Customer Data Management, Customer Experience, Customer Feedback Management, Social CRM, Speech Analytics, Voice of the Customer, InContact, LiveOps, Operational Performance, Analytics, Cloud Computing, Customer & Contact Center, Customer Service, Workforce Performance, Call Center, Contact Center, Contact Center Analytics, CRM, Desktop Analytics, Interactive Intelligence, Text Analytics, Unified Communications, Workforce Management, Contactual

Interactive Intelligence (ININ) recently invited partners, consultants and analysts to Portugal to hear about the latest developments in its products. Not surprisingly given the extensive range of products it now supports, none of us had much time to enjoy Lisbon but were put through an intensive program of presentations and discussions.

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Topics: Predictive Analytics, Social Media, Customer Analytics, Customer Experience, Customer Feedback Management, Social CRM, Speech Analytics, Voice of the Customer, RightNow, Operational Performance, Analytics, Business Mobility, Cloud Computing, Customer & Contact Center, Customer Service, Workforce Performance, Call Center, Contact Center, Contact Center Analytics, CRM, Desktop Analytics, Interactive Intelligence, Text Analytics, Unified Communications, Workforce Management

In various forms, business intelligence (BI) – as queries, reporting, dashboards and online analytical processing (OLAP) – is being used increasingly widely. And as basic BI capabilities spread to more organizations, innovative ones increasingly are exploring how to take advantage of the next step in the strategic use of BI: predictive analytics. The trend in Web searches for the phrase “predictive analytics” gives one indication of the rise in interest in this area. From 2004 through 2008, the...

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Topics: Predictive Analytics, Predixion, R, Revolution Analtyics, Sales Performance, SAS, Social Media, Supply Chain Performance, Operational Performance, Analytics, Business Analytics, Business Collaboration, Business Intelligence, Business Mobility, Business Performance, Business Technology, CIO, Cloud Computing, Customer & Contact Center, Financial Performance, IBM SPSS, Information Builders, Information Technology, KXEN, Netezza, Oracle, Tibco, Workforce Performance

Since last summer, Portrait Software has been part of the Pitney Bowes Business Insight (PBBI) subsidiary. Since the acquisition the combined teams have been putting together a comprehensive set of products to support data quality and customer interaction management. The suite includes the Portrait Self-Service Analytics, Miner, Uplift, Uplift Optimizer, Dialogue, Interaction Optimizer and Foundation modules. The first four provide insights to understand customer interactions and the other...

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Topics: Predictive Analytics, Sales Performance, Social Media, Customer Analytics, Customer Experience, Operational Performance, Business Analytics, Business Collaboration, Cloud Computing, Customer & Contact Center, Call Center, Contact Center, CRM, Data Mining
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