In today’s data-driven world, organizations need real-time access to up-to-date, high-quality data and analysis to keep pace with changing market dynamics and make better strategic decisions. By mining meaningful insights from enterprise data quickly, they gain a competitive advantage in the market. Yet, organizations face a multitude of challenges when transitioning into an analytics-driven enterprise. Our Analytics and Data Benchmark Research shows that more than one-quarter of organizations find it challenging to access data sources and integrate data and analytics in business processes. Vendors such as IBM offer a broad set of analytics tools with self-service capabilities that allows organizations to reduce IT dependencies and enables decision-makers to recognize performance gaps, market trends and new revenue opportunities. Its technology can simplify data access for self-service applications, enabling users to make business decisions informed by insights and take the guesswork out of decision-making.
Topics: embedded analytics, Analytics, Business Intelligence, IBM, IBM Watson, AI and Machine Learning
IBM’s THINK conference, just held this February in San Francisco, is IBM's annual user conference. THINK is designed to showcase upcoming product updates and releases from IBM, along with provide best practices on a wide range of topics. While many technologies were on display, there is one topic in particular I wanted to cover this year: Blockchain.
Topics: Office of Finance, IBM, Financial Performance Management, FPM, Digital Technology, blockchain
Workday Financial Management (which belongs in the broader ERP software category) appears to be gaining traction in the market, having matured sufficiently to be attractive to a large audience of buyers. It was built from the ground up as a cloud application. While that gives it the advantage of a fresh approach to structuring its data and process models for the cloud, the product has had to catch up to its rivals in functionality. The company’s ERP offering has matured considerably over the past three years and now is better positioned to grow its installed base. Workday recently added Aon, the insurance and professional services company, to its customer list (becoming its largest customer to date) and reported that its annual contract value (ACV - the annualized aggregate revenue value of all subscription contracts as of the end of a quarter) has doubled since the second quarter of this year, albeit from a low base. This is an important milestone because for years the company’s growth has come from the human capital management (HCM) portion of the business, not financials. Workday has around 160 customers for its financials (more than 90 of which are live) compared to more than 1,000 customers for HCM.
Topics: Microsoft, SAP, ERP, FP&A, Human Capital, NetSuite, Office of Finance, Reporting, close, Controller, dashboard, Tax, Operational Performance, Analytics, Business Intelligence, Business Performance, Cloud Computing, Collaboration, Financial Performance, IBM, Oracle, Uncategorized, CFO, Data, Financial Performance Management, FPM, Intacct, Spreadsheets
The enterprise resource planning (ERP) system is a pillar of nearly every company’s record-keeping and management of business processes. It is essential to the smooth functioning of the accounting and finance functions. In manufacturing and distribution, ERP also can help plan and manage inventory and logistics. Some companies use it to handle human resources functions such as tracking employees, payroll and related costs. Yet despite their ubiquity, ERP systems have evolved little since their introduction a quarter of a century ago. The technologies shaping their design, functions and features had been largely unchanged. As a measure of this stability, our Office of Finance benchmark research found that in 2014 companies on average were keeping their ERP systems one year longer than they had in 2005.
Topics: Big Data, Microsoft, SAP, Social Media, Supply Chain Performance, ERP, FP&A, Human Capital, Mobile Technology, NetSuite, Office of Finance, Reporting, close, closing, Controller, dashboard, Reconciliation, Operational Performance, Analytics, Business Collaboration, Business Intelligence, Business Performance, Cloud Computing, Collaboration, Financial Performance, IBM, Oracle, Uncategorized, CFO, Data, finance, Financial Performance Management, FPM, Intacct
The State of Product Information Management Software for Business and IT
The importance of product information management (PIM) has become clear in recent years and especially as it relates to master data management. As I recently wrote handling this business process effectively and using capable software should be priorities for any organization in marketing and selling its products and services but also interconnecting the distributed supply chain. Our research on product information management can help organizations save time and resources in efforts to ensure that product information is an asset to facilitate efficiency in many business processes. Through years of benchmarking, we have developed a blueprint for managing and improving product information. Using this approach enables companies to more effectively align and link their activities and processes. Of course achieving effectiveness also requires using applications that create consistent, reliable product information. We regularly update our Value Index for PIM to enable companies to evaluate vendors and their applications’ suitability for use in all business processes requiring product information.
Topics: Big Data, Master Data Management, Sales Performance, Supply Chain Performance, Enterworks, Marketing, Operational Performance Management (OPM), Stibo Systems, Webon, Business Performance, CIO, Financial Performance, IBM, Informatica, Information Management, Oracle, Information Optimization, Product Information Management, Riversand
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 relentless consolidation, marginalization and extinction within the IT industry sector driven by cloud disruptions and the maturing of the software business. In practice, though, we expect the transition to the cloud to be slow and uneven.
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
Big Data Research Agenda and Trends are Bolder in 2015
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 beyond. As it progresses the importance of making big data systems interoperate with existing enterprise and information architecture along with digital transformation strategies becomes critical. Done properly companies can take advantage of big data innovations to optimize their established business processes and execute new business strategies. But just deploying big data and applying analytics to understand it is just the beginning. Innovative organizations must go beyond the usual exploratory and root-cause analyses through applied analytic discovery and other techniques. This of course requires them to develop competencies in information management for big data.
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
New Technology to Recruit, Engage and Retain Employees
Most HR technology practitioners and vendors attend the annual HR Technology Conference and Exposition. One of the largest industry gatherings, it provides an indicator of their levels of investment and the hottest trends. This year’s event revealed new technologies and approaches to two key human resources processes – recruitment and retention. They included predictive analytics and big data as well mobile delivery to allow employees easier access to applications. Regarding the first two, these technologies can help managers make better informed and more intelligent decisions from their masses of HR data. It seems that investment in recruiting applications has increased with the growth of the economy. Earlier this year I described how many vendors are investing in recruiting applications. At HR Tech I saw this trend continuing, hearing from vendors that are focused on evolving their recruiting software. Among the new products in recruiting is HireVue Insights, which uses predictive logic and big data to analyze the desirability of candidates. HireVue recently won our 2014 Ventana Research Technology Innovation award for this offering. In addition, talent management vendor Cornerstone OnDemand announced an agreement to acquire Evolv, whose primary product also uses big data and predictive models to match candidates to positions. Our benchmark research on human capital analytics shows that many organizations are considering investments in big data for human capital analytics in almost half of organizations, so these and other products appear to be in step with market demand.
Topics: Social Media, Kronos, Peoplefluent, Recruiting, Wearable Computing, Fuel50, Operational Performance, Smart Watches, Analytics, Business Analytics, Business Collaboration, Business Intelligence, Business Performance, Cloud Computing, Financial Performance, IBM, Oracle, Workforce Performance, Ceridian, HireVue, Saba, HR Tech, HR Technology Conference, Qualtrics, Tanner Labs
Ventana Research Rates Total Compensation Management Software in 2014 Value Index
Now available from Ventana Research is our Value Index on Total Compensation Management for 2014. Total compensation management directly addresses one of an organization’s largest investments – employee pay. As such it is a critical activity for supporting other human capital management and talent management processes.
Topics: SAP, Human Capital Management, Kenexa, Peoplefluent, SuccessFactors, Decusoft, Towers Watson, Analytics, Business Analytics, Business Collaboration, Cloud Computing, Financial Performance, IBM, Mobility, Oracle, Workforce Performance, Compensation, SumTotal Systems, TCM, Value Index, beqom, Pay for Performance
IBM Brings Sophistication to Customer Analytics and Prediction
During recent IBM analyst big data event, I learned about a new product, IBM Predictive Customer Intelligence. It extracts and processes customer-related data from multiple sources to analyze customer-related activities and has capabilities to predict customer behavior and actions. Predictive Customer Intelligence is built on IBM’s big data platform and supports extraction and integration of data from multiple sources, internal and external, and from structured and unstructured data. It can process data created by third-party products, such as text-based files of data created by converting speech to text. The product can capture and analyze customer interactions from multiple communication channels such as voice, email, text messages, chat and Web usage scripts and social media posts.
Topics: Social Media, Customer Analytics, Customer Experience, Voice of the Customer, IBM Predictive Customer Intelligence, Analytics, Business Analytics, Business Intelligence, Cloud Computing, Collaboration, Customer & Contact Center, Customer Service, IBM, Information Applications, Call Center, Contact Center, Contact Center Analytics, IBM Watson, Text Analytics
IBM Advances Business Experience in Using Advanced Analytics
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 been at the forefront in utilizing information technology capabilities. The list of innovations is staggering. The “smart” phone is positively brilliant. Games are now a far bigger business than motion pictures.
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
Requirements for Becoming a Strategic Chief Risk Officer
The proliferation of chief “something” officer (CxO) titles over the past decades recognizes that there’s value in having a single individual focused on a specific critical problem. A CxO position can be strategic or it can be the ultimate middle management role, with far more responsibilities than authority. Many of those handed such a title find that it’s the latter. This may be because the organization that created the title is unwilling to invest the necessary powers and portfolio of responsibilities to make it strategic – a case of institutional inertia. Or it may be that the individual given the CxO title doesn’t have the skills or temperament to be a “chief” in a strategic sense.
Topics: GRC, Office of Finance, Chief Risk Officer, CRO, ERM, OpenPages, Operational Performance, Business Analytics, Business Collaboration, Business Performance, Cloud Computing, Data Governance, Financial Performance, IBM, compliance, Data, Risk, Financial Services, FPM
SAS Innovates the Potential of Business Analytics
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 demonstrated Visual Analytics’ sophisticated integration with statistical capabilities, which is something the company sees as a differentiator going forward. The product already provides automated charting capabilities, forecasting and scenario analysis, and SAS probably has been doing user-experience testing, since the visual interactivity is better than what I saw last year. SAS has put Visual Analytics on a six-month release cadence, which is a fast pace but necessary to keep up with the industry.
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
I had the pleasure of attending Cloudera’s recent analyst summit. Presenters reviewed the work the company has done since its founding six years ago and outlined its plans to use Hadoop to further empower big data technology to support what I call information optimization. Cloudera’s executive team has the co-founders of Hadoop who worked at Facebook, Oracle and Yahoo when they developed and used Hadoop. Last year they brought in CEO Tom Reilly, who led successful organizations at ArcSight, HP and IBM. Cloudera now has more than 500 employees, 800 partners and 40,000 users trained in its commercial version of Hadoop. The Hadoop technology has brought to the market an integration of computing, memory and disk storage; Cloudera has expanded the capabilities of this open source software for its customers through unique extension and commercialization of open source for enterprise use. The importance of big data is undisputed now: For example, our latest research in big data analytics finds it to be very important in 47 percent of organizations. However, we also find that only 14 percent are very satisfied with their use of big data, so there is plenty of room for improvement. How well Cloudera moves forward this year and next will determine its ability to compete in big data over the next five years.
Topics: Big Data, Teradata, Zoomdata, IT Performance, Business Intelligence, Cloudera, Hortonworks, IBM, Information Applications, Information Management, Location Intelligence, Operational Intelligence, Oracle, Hive, Impala, Strata+Hadoop
At Oracle’s recent cloud computing analyst summit in sunny Palm Springs, the company’s executive team insisted that it sees clear skies for its efforts in cloud computing. The summit was led by senior executive Thomas Kurian, who runs the entire product organization and reports directly to CEO Larry Ellison. He affirmed that Oracle intends to offer the full range of cloud computing – public, private and hybrid models – to its customers and partners. As one of the world’s largest software suppliers Oracle has much at stake to make its database and all tools and applications available in these cloud environments, including managed cloud services. Our business technology innovation research shows this is a smart bet. Cloud computing is important or very important to 57 percent of organizations, and more than half (55%) of cloud users have been using it for more than a year. I noted in 2013 that simplifying IT and innovating in business are key to its software strategy, and Oracle’s efforts since then have executed on this outline.
Topics: Big Data, Database, Microsoft, SaaS, Sales Performance, Social Media, Software as a Service, Supply Chain Performance, Middleware, Oracle Cloud, Operational Performance, Business Analytics, Business Collaboration, Business Intelligence, Business Performance, Cloud Computing, Customer & Contact Center, Financial Performance, IBM, Information Applications, Information Management, Oracle, Workforce Performance, Database as a Service, Verizon
At its recent Connect 2014 event IBM announced IBM Kenexa Talent Suite, an integrated talent management suite. The release strengthens its Smarter Workforce initiative by combining IBM and Kenexa products and services in one human capital management (HCM) offering. IBM Kenexa Talent Suite also addresses increasing efforts by human resources organizations to optimize their activities through more effective use of technology, a topic covered in our 2014 HCM research agenda. Specifically, the release integrates talent management process automation capabilities with collaboration and also can be complemented with its workforce analytics to help organizations be more efficient and productive; our benchmark research shows these are the leading benefits of using human capital analytics systems.
Topics: Big Data, Mobile, SAP, Social Media, HCM, Kenexa, Recruiting, Analytics, Business Analytics, Business Collaboration, Business Intelligence, Cloud Computing, Collaboration, IBM, Oracle, Workforce Performance, Cognitive Computing, HR, IBM Watson, Social
Mobile Business Intelligence – Who is Hot in 2014
Ventana Research recently completed the most comprehensive evaluation of mobile business intelligence products and vendors available anywhere today. The evaluation includes 16 technology vendors’ offerings on smartphones and tablets and use across Apple, Google Android, Microsoft Surface and RIM BlackBerry that were assessed in seven key categories: usability, manageability, reliability, capability, adaptability, vendor validation and TCO and ROI. The result is our Value Index for Mobile Business Intelligence in 2014. The analysis shows that the top supplier is MicroStrategy, which qualifies as a Hot vendor and is followed by 10 other Hot vendors: IBM, SAP, QlikTech, Information Builders, Yellowfin, Tableau Software, Roambi, SAS, Oracle and arcplan.
Topics: Big Data, MicroStrategy, Mobile, Mobile Business Intelligence, Pentaho, Sales Performance, SAP, SAS, Tableau, Jaspersoft, Analytics, Business Analytics, Business Collaboration, Business Intelligence, Business Performance, Customer & Contact Center, IBM, Information Builders, Oracle, Workforce Performance, Yellowfin, Roambi, Value Index, arcplan, Logi Analytics, Qlik
IBM Integrates Risk Management for Financial Services
Integrated risk management (IRM) was a major theme at IBM’s recent Smarter Risk Management analyst summit in London. In the market context, IBM sees this topic as a means to differentiate its product and messaging from those of its competitors. IRM includes cloud-based offerings in operational risk analytics, IT risk analytics and financial crimes management designed for financial institutions and draws on component elements of software that IBM acquired over the past five years, notably from Algorithmics for risk-aware business decisions, Open Pages for compliance management, SPSS for sophisticated analytics, Cognos for reports, dashboards and scorecards, and Tivoli for managing all of this in a Web environment. Putting its software in the cloud enables IBM to streamline integration and maintenance, offer more flexible deployment and consumption options and potentially lower the total cost of ownership.
Topics: Supply Chain Performance, GRC, Office of Finance, Chief Risk Officer, CRO, ERM, OpenPages, IT Performance, Operational Performance, Business Analytics, Business Collaboration, Business Performance, Cloud Computing, Customer & Contact Center, Data Governance, Governance, Risk & Compliance (GRC), IBM, Information Applications, Information Management, Operational Intelligence, compliance, Data, Risk, Financial Services, FPM
IBM Brings New Innovation in Analytics for Business Insights
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 around US$6 billion a year into research and development; in recent years much of this investment has gone into research on big data and analytics, two of the hottest areas in 21st century business technology. At the company’s recent Information On Demand (IOD) conference in Las Vegas, presenters showed off much of this innovative portfolio.
Topics: Predictive Analytics, IT Performance, Analytics, Business Analytics, Business Intelligence, Business Performance, Customer & Contact Center, IBM, Information Applications, Data Discovery, Discovery, Information Discovery, SPSS
Ventana Research Technology Innovation Awards Are More Than Cool
In the realm of technology that matters for business and IT, our firm as part of our responsibility continually assesses the latest technology and how it can impact organizations’ efficiency and effectiveness. Our benchmark research in technology innovation found that 87% of participants indicated the importance of increasing the organization’s value through technology innovation. Every year we take our knowledge from research and technology briefings to focus on our Technology Innovation Awards and determine the vendors and products that have the potential to drive change in the market, the competitiveness of an organization’s business and sometimes just how efficiently a company operates. Our firm believes that Innovation can come from any size technology vendor from the smallest to the largest that are measured on a spectrum of attributes that contribute to the specific impact of the technology.
Topics: Big Data, Datameer, Mobile, Sales, Sales Performance, Social Media, Supply Chain Performance, Sustainability, Customer, ESRI, Globoforce, GRC, HCM, Kronos, Kyriba, Location Analytics, Marketing, NetBase, Office of Finance, Overall Operational Leadership, Peoplefluent, Planview, SQLstream, VMWare, VPI, IT Analytics & Performance, IT Performance, Operational Performance, Analytics, Business Analytics, Business Collaboration, Business Intelligence, Business Mobility, Business Performance, CIO, Cloud Computing, Collaboration, Customer & Contact Center, Financial Performance, Governance, Risk & Compliance (GRC), Hortonworks, IBM, Informatica, Information Applications, Information Builders, Information Management, Information Technology, KXEN, Location Intelligence, Operational Intelligence, Oracle, Workforce Performance, Contact Center, Datawatch, Financial Management, Information Optimization, Johnson Controls Panoptix, Roambi, Service & Supply Chain, Upstream Works, Vertex, Xactly
Three Major Trends in New Discovery Analytics
A few months ago, I wrote an article on the four pillars of big data analytics. One of those pillars is what is called discovery analytics or where visual analytics and data discovery combine together to meet the business and analyst needs. My colleague Mark Smith subsequently clarified the four types of discovery analytics: visual discovery, data discovery, information discovery and event discovery. Now I want to follow up with a discussion of three trends that our research has uncovered in this space. (To reference how I’m using these four discovery terms, please refer to Mark’s post.)
Topics: Datameer, SAP, Splunk, Operational Performance, Analytics, Business Analytics, Business Intelligence, Business Performance, Cloud Computing, Customer & Contact Center, IBM, Information Applications, Information Builders, Operational Intelligence, Oracle, Data Discovery, Information Discovery
IBM SPSS Analytic Catalyst Makes Sophisticated Analytics Accessible
IBM’s SPSS Analytic Catalyst enables business users to conduct the kind of advanced analysis that has been reserved for expert users of statistical software. As analytic modeling becomes more important to businesses and models proliferate in organizations, the ability to give domain experts advanced analytic capabilities can condense the analytic process and make the results available sooner for business use. Benefiting from IBM’s research and development in natural-language processing and its statistical modeling expertise, IBM SPSS Analytic Catalyst can automatically choose an appropriate model, execute the model, test it and explain it in plain English.
Topics: analytic catalyst, driver analysis, Operational Performance, Analytics, Business Analytics, Business Intelligence, Business Performance, Customer & Contact Center, IBM, SPSS
IBM Improving the Science to Apply Business Analytics for Better Customer Engagement
I recently wrote how IBM is making customer analytics smarter. Since then IBM has run events in North America and Europe to demonstrate how it is continuing these efforts and expanding into other areas. Outside of the customer space you can read how my colleagues assess its efforts: Mark Smith discusses HR, Robert Kugel sees its impact on business overall, and Tony Cosentino addresses it in IT. Our research My focus remains the customer and I have learned more about what IBM is doing in social media, identity reconciliation, visualization, mobile apps and big data.
Topics: Social Media, Customer Analytics, Customer Experience, Speech Analytics, Voice of the Customer, Mobile Apps, Self-service, Analytics, Business Analytics, Business Collaboration, Cloud Computing, Collaboration, Customer & Contact Center, Customer Service, IBM, Call Center, Contact Center, Contact Center Analytics, CRM, Desktop Analytics, IBM Watson, Text Analytics
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 services and improving performance. As well, the technology will have more profound, longer lasting effects. The ability to analyze large quantities of business-related data rapidly has the potential to set in motion fundamental changes in how executives and managers run their business. Properly deployed, it will enable a more forward-looking and agile management style even in very large enterprises. It will allow more flexible forms of business organization. None of these changes will be universal, and the old school will be with us for some time. Technology, however, will give executives and their boards of directors a powerful tool for strategic differentiation to achieve a sustainable competitive advantage.
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
A Year Makes a Big Difference for Big Data Analytics
Users of big data analytics are finally going public. At the Hadoop Summit last June, many vendors were still speaking of a large retailer or a big bank as users but could not publically disclose their partnerships. Companies experimenting with big data analytics felt that their proof of concept was so innovative that once it moved into production, it would yield a competitive advantage to the early mover. Now many companies are speaking openly about what they have been up to in their business laboratories. I look forward to attending the 2013 Hadoop Summit in San Jose to see how much things have changed in just a single year for Hadoop centered big data analytics.
Topics: Big Data, Datameer, Sales Performance, SAS, Supply Chain Performance, Teradata, alteryx, IT Performance, Operational Performance, Business Analytics, Business Intelligence, Business Performance, Customer & Contact Center, Financial Performance, Governance, Risk & Compliance (GRC), IBM, Information Applications, Location Intelligence, Operational Intelligence, Workforce Performance, Strata+Hadoop
IBM Showcases Big Data and Analytics for Business
IBM hosted the Big Data and Analytics Analyst Insights conference in Toronto recently to emphasize the strategic importance of this topic to the company and to highlight recent and forthcoming advancements in its big data and analytics software. Our firm followed the presentations with interest. My colleagues Mark Smith and Tony Cosentino have commented on IBM’s execution of its big data strategy and its approach to analytics. As well, Ventana Research has conducted benchmark research on challenges in big data.
Topics: Big Data, Sales Performance, Office of Finance, MRO, Operational Performance, Analytics, Business Analytics, Business Intelligence, Business Performance, Customer & Contact Center, Financial Performance, IBM, Location Intelligence, Operational Intelligence, FPM, Maximo, TM1, Watson
I recently attended Vision 2013, IBM’s annual conference for users of its financial governance, risk management and sales performance management software. These three groups have little in common operationally, but they share software infrastructure needs and basic supporting software components such as reporting and analytics. Moreover, while some other major vendors’ user group meetings concentrate on IT departments, Vision focuses on business users and their needs, which is a welcome difference. For me, there were three noteworthy features related to the finance portion of the program. First, IBM continues to advance its financial performance management (FPM) suite and emphasizes its Cognos TM1 platform to support a range of finance department tasks. Second, the user-led sessions illustrated improvements that finance departments can make to their core processes today, ones that improve the quality of these processes and go a long way toward enabling Finance to play a more strategic role in the company it serves. Third, the Cognos Disclosure Management product has better performance and useful new features to support the management of a full range of internal and external disclosure documents, including the extended close, which I have discussed.
Topics: Planning, Reporting, Budgeting, closing, XBRL, Analytics, Business Performance, Data Management, Financial Performance, IBM, CFO, Financial Performance Management, FPM, SEC, TM1, Digital Technology
IBM Watson Engagement Advisor for Smarter Customer Service
Recently my colleague Mark Smith wrote about the IBM Watson platform. Mark is our expert on technically complex subjects like IBM Watson and cognitive computing and the value it can provide to organizations and wrote an educational white paper on the topic. In fact IBM Watson was awarded the 2012 Ventana Research Technology Innovation Award. I focus on the customer and the customer experience, but I became engaged with the launch of the IBM Watson Engagement Advisor, which uncannily brings the two together.
Topics: Social Media, Customer Analytics, Customer Experience, Social CRM, Mobile Apps, Self-service, Operational Performance, Business Performance, Cloud Computing, Customer & Contact Center, Customer Service, IBM, Call Center, Cognitive Computing, Contact Center, Contact Center Analytics, CRM, IBM Watson, Text Analytics
Five Principles for Optimizing Business Analytics
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.
Topics: Data Science, Predictive Analytics, R, SAP, Analytics, Business Analytics, Business Intelligence, Business Performance, IBM, Information Applications, Operational Intelligence, Oracle
When it comes to today’s customers, companies have to be smart if they are going to anticipate and meet new customer expectations. These days IBM talks about doing most things in “smart” ways. Recently I was briefed on IBM’s Smart Customer Analytics, but it took me quite a while to find information about it on the company’s not-so-smart website. Surprisingly since business analytics is so important to IBM current and ongoing investments and is the top ranked technology innovation priority in 39 percent of organizations according to our benchmark research.
Topics: Sales Performance, Customer Analytics, Customer Experience, Voice of the Customer, Operational Performance, Analytics, Business Analytics, Business Intelligence, Business Performance, Cloud Computing, Customer & Contact Center, Customer Service, IBM, Information Applications, Information Management, Call Center, Contact Center, Contact Center Analytics, CRM, Text Analytics
Software Aims To Prevent Foreign Corrupt Practices
In some parts of the world, bribing government officials is still considered a normal cost of doing business. Elsewhere there has been a growing trend over the past 40 years to make it illegal for a corporation to pay bribes. In the United States, Congress passed the Foreign Corrupt Practices Act (FCPA) in 1977 in the wake of a succession of revelations of companies paying off government officials to secure arms deals or favorable tax treatment. More recently other governments have implemented anticorruption statutes. The U.K., for instance, enacted the strict Bribery Act in 2010 to replace increasingly ineffective statutes dating back to 1879. The purpose of these actions is to enable ethical and law-abiding companies to compete on a level playing field with those that are neither. A cynic might wonder about the real, functional difference between, say, Wal-Mart’s recent payments to officials in Mexico to accelerate approval of building permits and the practice in New York City of having to engage expediters to ensure timely sign-offs on construction approval documents. No matter – the latter is legal (it’s a domestic issue, after all) while the former is not.
Topics: SAP, ERP, Governance, GRC, bribery, Operational Performance, Business Analytics, Business Performance, Financial Performance, Governance, Risk & Compliance (GRC), IBM, Operational Intelligence, Oracle, CFO, compliance, FPM, Oversight Systems
Teradata Addresses the Foundation of Big Data Analytics
Our benchmark research found in business technology innovation that analytics is the most important new technology for improving their organization’s performance; they ranked big data only fifth out of six choices. This and other findings indicate that the best way for big data to contribute value to today’s organizations is to be paired with analytics. Recently, I wrote about what I call the four pillars of big data analytics on which the technology must be built. These areas are the foundation of big data and information optimization, predictive analytics, right-time analytics and the discovery and visualization of analytics. These components gave me a framework for looking at Teradata’s approach to big data analytics during the company’s analyst conference last week in La Jolla, Calif.
Topics: Big Data, MicroStrategy, Tableau, Teradata, alteryx, IT Performance, Operational Performance, Analytics, Business Analytics, Business Intelligence, Business Performance, Customer & Contact Center, Governance, Risk & Compliance (GRC), IBM, Information Applications, Information Management, Operational Intelligence, Oracle
Last week, IBM brought industry analysts to its famed Almaden Research Center, where the company outlined its big data analytics strategy and introduced a number of new innovations. Big data is no new topic to IBM, which has for decades helped organizations store and use data. But technology has changed over those decades, and IBM is working hard to ensure it is part of the future and not just the past. Our latest business technology innovation research into big data technology finds that retaining and analyzing more data is the first-ranked priority in 29 percent of organizations. From both an IT and a business perspective, big data is critical to IBM’s future success.
Topics: Big Data, SAP, IT Performance, Operational Performance, Analytics, Business Analytics, Business Intelligence, Business Performance, Customer & Contact Center, Governance, Risk & Compliance (GRC), IBM, Information Applications, Operational Intelligence, Oracle
IBM recently announced its new Customer Experience Lab. During a briefing I learned that the lab is a response to what IBM discovered by interviewing more than a thousand CMOs, who are concerned about the explosion of data companies collect about their customers. This explosion is being driven by changing customer communication preferences and the way customers now interact with organizations, which I recently highlighted in my post about the 2.0 world. My research into the contact center in the cloud shows a similar trend; although traditional channels such as telephone calls and email are still the most popular, channels such as social media, instant messaging, text messaging and video are fast catching up.
Topics: Social Media, Customer Analytics, Customer Experience, Customer Feedback Management, Social CRM, Speech Analytics, Voice of the Customer, Mobile Apps, Self-service, Analytics, Business Analytics, Business Collaboration, Cloud Computing, Collaboration, Customer & Contact Center, Customer Service, IBM, Call Center, Contact Center, Contact Center Analytics, CRM, Desktop Analytics, Text Analytics, Unified Communications, Workforce Force Optimization
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 profitability. Should organizations invest further into visual or deep data discovery on big data, or delve more deeply into statistics and predictive analytics, or find new ways to integrate big data into current operational systems?
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
Big Data Analytics Faces a Chasm of Understanding
The challenge with discussing big data analytics is in cutting through the ambiguity that surrounds the term. People often focus on the 3 Vs of big data – volume, variety and velocity – which provides a good lens for big data technology, but only gets us part of the way to understanding big data analytics, and provides even less guidance on how to take advantage of big data analytics to unlock business value.
Topics: Big Data, Microsoft, SAP, SAS, Excel, designed data, Operational Performance, Analytics, Business Analytics, Business Intelligence, Business Performance, Cloud Computing, Customer & Contact Center, Financial Performance, Governance, Risk & Compliance (GRC), IBM, Information Applications, Location Intelligence, Operational Intelligence, Oracle, SPSS
IBM to Acquire Star Analytics for Financial Data Integration
IBM this week announced its pending acquisition of the Star Analytics product portfolio. Star Analytics is a privately held company that offers products designed to provide easy access to and integration with Oracle Hyperion data sources. While Star Analytics has a good product and solid references, it has lacked critical mass to support more effective sales and marketing efforts. Star Analytics’ strategic value to IBM lies in its ability to unlock data held in Oracle Essbase multidimensional databases, which is the repository for applications such as Hyperion Enterprise, Financial Management and Planning. It supports IBM’s aim to offer comprehensive business analytics capabilities, which means it must be able to facilitate access to all data sources. Longer term, it enables IBM to compete with Oracle for finance department customers with IBM’s own financial performance management applications. Star Analytics gives IBM a means of fostering relationships with existing users of Hyperion applications and a more graceful migration path to using IBM’s financial, analytics and business intelligence software.
Topics: Reporting, closing, Essbase, Hyperion, Analytics, Business Analytics, Business Performance, Cloud Computing, Data Integration, Financial Performance, IBM, Information Management, Oracle, Financial Performance Management, Star Analytics, TM1
IBM Provokes Social Collaboration and Smarter Workforce Revolution
IBM held its 20th annual IBM Connect conference (previously known as Lotusphere) as part of its IBM Social Business efforts at the end of January. The conference focuses on business and social collaboration technology, which our business technology innovation research found to be the second-ranked priority for business innovation. At the conference IBM made a series of significant announcements, including a new version of its social collaboration suite, IBM Connections, and the ability to use the software on a cloud computing platform.
Topics: Sales Performance, Social Media, Supply Chain Performance, Human Capital Management, Kenexa, Learning, Performance, Recruiting, Smarter Analytics, Smarter Workforce, Social Business, Social Collaboration, Operational Performance, Business Analytics, Business Collaboration, Business Intelligence, Business Performance, Cloud Computing, Customer & Contact Center, Financial Performance, IBM, Workforce Performance, Compensation
SAP Business Analytics Strategy Built on SAP HANA and Delivers Better Business Intelligence
SAP just released strong preliminary quarterly and annual revenue growth, which in many ways can be attributed to a strong strategic vision around the HANA in-memory platform and strong execution throughout the organization. Akin to flying an airplane while simultaneously fixing it, SAP’s bold move to HANA may at some point see the company continuing to fly when other companies are forced to ground parts of their fleets.
Topics: Sales, Sales Performance, SAP, Supply Chain Performance, Business Objects, Business Objects predictive analytics, Crystal reports, Operational Performance, Visi, Analytics, Business Analytics, Business Collaboration, Business Intelligence, Business Performance, Cloud Computing, Customer & Contact Center, Financial Performance, IBM, Operational Intelligence, Workforce Performance, cognos insight, SAP predictive analytics, Sybase IQ
IBM Watson Advances a New Category of Cognitive Computing
IBM Watson blends existing and innovative technology into a new approach called cognitive computing. At the simplest operational level it is technology for asking natural language-based questions, getting answers and support appropriate action to be taken or provide information to make more informed decisions. The technology relies on massive processing power to yield probabilistic responses to user questions using sophisticated analytical algorithms. A cognitive system like Watson accesses structured and unstructured information within an associated knowledge base to return responses that are not simply data but contextualized information that can inform users’ actions and guide their decisions. This is a gigantic leap beyond human decision-making using experience based on random sources from the industry and internal sets of reports and data.
Topics: Sales Performance, Supply Chain Performance, Machine Learning, IT Performance, Operational Performance, Business Analytics, Business Intelligence, Business Performance, Customer & Contact Center, Financial Performance, IBM, Information Management, Workforce Performance, Cognitive Computing, Expert Systems, IBM Watson
I’m happy to say that Ventana Research celebrated its tenth anniversary at our recent Business Technology Innovation Summit in San Jose at the Tech Museum. This location was fitting, since at the event we introduced and presented our first-ever Technology Innovation Awards and seventh annual Leadership Awards. If you did not get a chance to attend, we have the live webstream available for replay at no cost; thanks to Splunk for sponsoring this to let everyone enjoy the sessions.
Topics: Sales Performance, SAP, Social Media, Supply Chain Performance, Peoplefluent, Planview, Research, Splunk, IT Performance, Operational Performance, Business Analytics, Business Collaboration, Business Intelligence, Business Performance, CIO, Cloud Computing, Customer & Contact Center, Financial Performance, IBM, Information Applications, Information Management, Location Intelligence, Operational Intelligence, Workforce Performance, Ceridian, CFO, CMO, COO, Datawatch, Saba, Technology
The Red Hot Business Intelligence Vendors for 2012 Revealed in Value Index
Ventana Research has just released the 2012 Value Index for Business Intelligence, in which we evaluate the competency and maturity of vendors and products. Our firm has been researching this software category for almost a decade. Our latest benchmark research in business intelligence found that new technology advancements in business intelligence are critical to its future; more than two-thirds of organizations will use BI on mobile technology in the next year, and more than a fifth will do so with collaboration technology. Our benchmark research on organizations using this software not only uncovers best practices and trends, but also highlights what business expects from business intelligence and where IT can support business needs more effectively across a range of roles and processes. Moving beyond the model where IT delivers BI to business, this Value Index assesses what those in business need from business intelligence, from executives and management to analysts and managers.
Topics: Microsoft, MicroStrategy, Pentaho, QlikView, Sales Performance, SAP, SAS, Social Media, Supply Chain Performance, IT Performance, Jaspersoft, Operational Performance, Analytics, Business Analytics, Business Collaboration, Business Intelligence, Business Performance, Cloud Computing, Customer & Contact Center, Financial Performance, Governance, Risk & Compliance (GRC), IBM, InetSoft, Information Applications, Information Builders, Information Management, Location Intelligence, Operational Intelligence, Oracle, Tibco, Workforce Performance, arcplan, LogiXML, Spago Solutions
Oracle’s Exalytics Appliance Delivers Business Analytics
At Oracle OpenWorld this week I focused on what the company is doing in business analytics, and in particular on what it is doing with its Exalytics In-Memory Machine. The Exalytics appliance is an impressive in-memory hardware approach to putting right-time analytics in the hands of end users by providing a full range of integrated analytic and visualization capabilities. Exalytics fits into the broader analytics portfolio by providing support for Oracle BI Foundational Suite including OBIEE, Oracle’s formidable portfolio of business analytics and business performance applications, as well interactive visualizations and discovery capabilities.
Topics: Big Data, SAP, exadata, Analytics, Business Analytics, Business Intelligence, Business Performance, Exalytics, IBM, Oracle
IBM’s SPSS Shows Chops in Predictive Analytics
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.
Topics: Predictive Analytics, Social Media, IT Performance, Operational Performance, Business Analytics, Business Collaboration, Business Intelligence, Business Performance, Customer & Contact Center, IBM, Workforce Performance, SPSS
Ventana Research has just released the 2012 Value Index for Data Integration, in which we evaluate the competency and maturity of vendors and products. Our firm has been researching this software category for almost a decade. Our latest benchmark research in information management found that data integration is a critical component of information management strategies, according to 55 percent of organizations. Our benchmark research on organizations using this software not only uncovers best practices and trends, but it also highlights why IT is using data integration to advance its competencies across people and processes.
Topics: Big Data, Master Data Management, Microsoft, Pentaho, Sales Performance, SAP, SAS, Social Media, Supply Chain Performance, Talend, SnapLogic, IT Performance, Operational Performance, Business Analytics, Business Collaboration, Business Mobility, Business Performance, Cloud Computing, Customer & Contact Center, Data Governance, Data Integration, Financial Performance, Governance, Risk & Compliance (GRC), IBM, Informatica, Information Applications, Information Builders, Information Management, Location Intelligence, Oracle, Workforce Performance, Syncsort
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.
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
IBM Making Billion-Dollar Bet on Kenexa for Social Business and Talent Management
IBM has announced its intention to acquire Kenexa as part of IBM Smarter Workforce initiative and social business software division. It’s a billion-dollar-plus investment to bolster IBM’s social business and give the company more depth in the human capital management software market that comprises human resources, talent management and workforce management. A lot of surface-level analysis I’ve seen on this announcement is not worth reading, but the deeper review below may help Kenexa and IBM customers, along with the market at large, and understand the implications of this announcement.
Topics: Sales Performance, Social Media, Supply Chain Performance, Human Capital Management, Kenexa, Recruiting, Operational Performance, Business Collaboration, Business Performance, Cloud Computing, Customer & Contact Center, Financial Performance, Governance, Risk & Compliance (GRC), IBM, Workforce Performance, Talent Management
Ventana Research has just released our 2012 Value Index for Product Information Management (PIM), in which we evaluate the competency and maturity of vendors and products. Our firm has been researching this software category for many years, and our latest benchmark research in product information management, coming out shortly, finds PIM software providing substantive benefits in new channels of interaction with suppliers and customers.
Topics: Master Data Management, Sales, Sales Performance, SAP, Supply Chain Performance, Enterworks, Hybris, Stibo Systems, Webon, Operational Performance, Business Analytics, Business Collaboration, Business Performance, Cloud Computing, Customer & Contact Center, Data Governance, Financial Performance, Governance, Risk & Compliance (GRC), IBM, Information Management, Location Intelligence, Oracle, Heiler, Product Information Management, Riversand
Datameer Provides Business Visualization and Discovery for Hadoop
As volumes of data grow in organizations, so do the number of deployments of Hadoop, and as Hadoop becomes widespread, more organizations demand data analysis, ease of use and visualization of large data sets. In our benchmark research on Hadoop, 88 percent of organizations said analyzing Hadoop data is important, and in our research on business analytics 89 percent said it is important to make it simpler to provide analytics and metrics to all users who need them. As my colleague Mark Smith has noted, Datameer has an ambitious plan to tackle these issues. It aims to provide a single solution in lieu of the common three-step process involving data integration, data warehouse and BI, giving analysts the ability to apply analytics and visualization to find the dynamic “why” behind data rather than just the static “what.”
Topics: Big Data, Datameer, MapR, Operational Performance, Business Analytics, Business Intelligence, Business Performance, Cloudera, Customer & Contact Center, Hortonworks, IBM, Information Applications, Operational Intelligence, Visualization, Data Discovery, Strata+Hadoop
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, addressed at IBM’s recent analyst summit.
Topics: Big Data, Performance Management, Planning, Predictive Analytics, Marketing, Modeling, Sales Forecasting, Analytics, IBM, Uncategorized, SPSS
IBM Advances Predictive Analytics for Decision Management
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 addition, IBM has advanced its information management technologies to support big data and predictive analytics in operational environments. Its stream- and event-processing technology helps speed routing and analysis of information across business processes. Each of these are critical for supporting decision management technology needs for business processes.
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
Cognos Express Gives Midsize Companies Outsize Capabilities
A main reason why desktop spreadsheets are pervasive in midsize companies (which we define as those with 100 to 1,000 employees) is that these organizations do not have the financial and manpower resources to implement and maintain traditional enterprise business intelligence and performance management systems. To address this gap in the market, several years ago IBM Cognos launched Express, a business intelligence and planning software package designed specifically for midsize companies as well as independent workgroups within larger corporations. It’s a package designed for easy (and relatively inexpensive) implementation and maintenance, often by channel partners.
Topics: ERP, Office of Finance, Reporting, Budgeting, Analytics, Business Intelligence, Dashboards, IBM, Uncategorized, CFO, finance, Financial Performance Management
I recently attended Vision 2012, IBM’s conference for users of its financial governance, risk management and performance optimization software. I reviewed the finance portion of the program in a previous blog. I’ve been commenting on governance, risk and compliance (GRC) for several years, often with the caveat that GRC is a catch-all term invented by industry analysts initially to cover a broad set of individual software applications. Each of these was designed to address specific requirements across a spectrum of users in operations, IT and Finance within a company, often to meet the needs for a specific industry such as financial services or pharmaceuticals. Vision 2012 covered a lot of ground under the GRC heading, confirming the breadth of both this software category and IBM’s offerings in it. I want to focus on two areas: automation of IT governance activities and effective management of GRC-related data.
Topics: Governance, GRC, Office of Finance, OpenPages, Operational Performance, Analytics, Business Collaboration, Business Performance, Financial Performance, IBM, compliance, controls, IT controls
I recently attended Vision 2012, IBM’s conference for users of its financial governance, risk management and performance optimization software. From my perspective, two points are particularly worth noting with respect to the finance portion of the program. First, IBM has assembled a financial performance management suite capable of supporting core finance processes as well as more innovative ones. It continues to build out the scope of this suite’s capabilities to enhance ease of use, deepen the capabilities of existing areas and broaden to coverage to complementary or immediately adjacent software categories such as its pending acquisition of sales performance management vendor Varicent Software (covered by my colleague Mark Smith). More specifically, automating management of the extended financial close – that is, all activities from closing the books through filing financial reports with regulatory bodies such as the Securities and Exchange Commission (SEC) in the U.S. or the FSC in the U.K. – is growing increasingly important as regulatory requirements for external financial reporting expand. Companies that have adopted software to manage the extended close are demonstrating the value of using it.
Topics: Performance Management, close, closing, IFRS, Analytics, IBM, Uncategorized, GAAP
Infor Presents Itself as a Large Software Startup
Infor described this year’s Inforum user group meeting as a coming-out party for a large startup company. Such a debut was necessary because Infor had been operating in something of a stealth mode for the past three years: a limited marketing presence, no unified message and a weak, sometimes inconsistent brand identity. It also needed to formally introduce Infor to customers of Lawson, the ERP supplier it acquired last year. The “startup” designation is meant to signal that Infor has been able to render a decade-long consolidation of dozens of smaller companies into one cohesive entity.
Topics: Performance Management, Sales Performance, Salesforce.com, SAP, Social Media, Supply Chain Performance, Sustainability, ERP, Human Capital Management, Marketing, Epiphany, expense management, Lawson, IT Performance, Operational Performance, Business Analytics, Business Collaboration, Business Intelligence, Business Mobility, Cloud Computing, Customer & Contact Center, Financial Performance, Governance, Risk & Compliance (GRC), IBM, Information Applications, Information Management, Location Intelligence, Operational Intelligence, Oracle, Workforce Performance, CRM, finance, Infor, Supply Chain, Financial Performance Management
IBM Makes Big Data Deal for Vivisimo and Supports Cloudera Hadoop
Through a series of acquisitions and organic development over the last five years, IBM has established itself as a leader in enterprise big data for business analytics. I recently wrote about IBM Smarter Analytics, which brings together the company’s portfolio of software, systems and services from analytics to big data. But supporting big data requires the ability to access many sources of information; our benchmark research on big data found that more than half of organizations require information from external sources, and that requires some software flexibility.
Topics: Big Data, Sales Performance, Social Media, Supply Chain Performance, Sustainability, Vivisimo, IT Performance, Business Analytics, Business Collaboration, Business Intelligence, Business Mobility, Business Performance, Business Technology, CIO, Cloud Computing, Cloudera, Customer & Contact Center, Financial Performance, Governance, Risk & Compliance (GRC), IBM, Information Applications, Information Management, Information Technology, Location Intelligence, Operational Intelligence, Workforce Performance, Strata+Hadoop
Expo Shows Maturity of Unified Communications
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 centers.
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
I believe that one of the more important analytical applications that a company can implement is profitability management. IBM Cognos offers Profitability Modeling and Optimization as part of its Cognos 10 offering that my colleague has assessed. As I’ve noted, most people in a corporation are focused on profitability, but not necessarily in a way that optimizes results across the organization in a day-to-day, consistent fashion. Those responsible for each component piece that contributes to profitability (such as departments, product lines or divisions) have objectives, but in pursuing these individual objectives they may make decisions that degrade the overall profitability of the corporation. Moreover, companies rarely seek to maximize short-term profits. They routinely make decisions that diminish their bottom line, such as promotional pricing, warranties or services included at no additional cost, with the aim of achieving strategic objectives. The question they must answer in making these decisions is whether these moves are justified. Similarly, they also must ask what they are including in their offer that they might be able to charge more for, such as shipping or warranties.
Topics: Performance Management, Sales Performance, Forecast, Modeling, Office of Finance, enterprise profitability management, Operational Performance, Business Analytics, Business Performance, Financial Performance, IBM, Workforce Performance, Cognos, Financial Services, Profitability
As Workday continues to expand and the likelihood of its IPO becomes a more frequent topic of discussion, so does the movement of ERP systems to the cloud. Thus far, only a minority of companies have chosen to put their ERP and accounting systems in the cloud, but the numbers are growing and there’s evidence of success. NetSuite, for example, reported a 26 percent increase in its revenues to $145 million in the nine months up to Sept. 30, 2011. To be sure, this is not close to Salesforce.com’s size and growth rate over the past decade, but it does indicate a growing acceptance of the cloud for this software category, which I have commented on. Moreover, I expect that as more companies adopt cloud-based systems successfully, we’ll see accelerating adoption by more cautious buyers in the classic diffusion of innovation pattern described by Everett Rogers (and later reworked by Geoffrey Moore).
Topics: Microsoft, Sales, Supply Chain Performance, ERP, NetSuite, Office of Finance, Dynamics, Epicor, Lawson, QAD, Operational Performance, Business Performance, Cloud Computing, Financial Performance, IBM, Oracle, Workforce Performance, Infor, financial software, Intacct, PeopleSoft, Software
Fulfilling its intention to make it easier to access and use analytics and business intelligence, IBM released its Cognos Mobile application natively for the Apple iPad. Of course IBM is not the first to release a native application for the tablet, and many might say that it is late in doing so, but in reality the market for dedicated applications on tablets is just heating up. The adoption rate of the iPad as the tablet of choice for business continues to grow, and while statistics are not yet available our research has found a groundswell of interest this year and last among businesses in mobility for analytics and BI. In this context, the mobile app is significant for IBM Cognos. It has delivered software for mobile technology including smartphones for over a decade, but the new application was carefully designed to establish a foundation for upcoming incremental releases in the tablet format.
Topics: Microsoft, Sales Performance, Supply Chain Performance, Google, Playbook, RIM, Operational Performance, Business Analytics, Business Collaboration, Business Intelligence, Business Mobility, Business Performance, CIO, IBM, Mobility, Workforce Performance, Cognos, Digital Technology
Planning for Fixed-Asset Investment Requires the Right Tool Not Just a Spreadsheet
In today’s economy, all companies are contending with a dynamic business environment characterized by volatile commodity prices and exchange rates, a shaky global financial system and slow growth in many countries. Many of them rely heavily on desktop spreadsheets to support the data collection and analysis related to their capital-asset planning. However, spreadsheets have inherent limitations that make them the wrong choice.
Topics: Big Data, Planning, SAP, Office of Finance, Planview, Budgeting, contingency, Operational Performance, Business Performance, Financial Performance, IBM, Oracle, agile, capital spending
The largest cloud computing conference, Dreamforce 2011, operated by Salesforce.com, is now upon us. This year attendance is estimated to be over 40,000, and there will be more technology- and developer-focused attendees and dialogue than marketing material. Unlike past years, I expect marketing professionals to be a small percentage of attendees, so I thought I would offer them a guide through the circus of activities at the conference.
Topics: Sales Performance, Salesforce.com, Social Media, ExactTarget, HubSpot, Manticore Technology, Marketing, Marketing Automation, Marketing Planning, Marketo, Pardot, Revenue Performance, Sales Force Automation, Operational Performance, Business Collaboration, Business Mobility, Business Performance, Cloud Computing, Customer & Contact Center, Financial Performance, IBM, CFO, CMO, CRM, Demand Generation, Eloqua, SFA, Unica, Digital Technology
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 more effectively. And they should: Our research finds that a majority of executives and managers outside the finance organization want the department to play a more strategic role in their company’s management.
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
IBM Cognos Gets Ready for the Revolution in Analytical Processes
Over the past six years big technology corporations have been acquiring all sorts of software companies, accelerating a general consolidation of the software industry since the dot-com boom ended in 2001. The consolidation has been driven in part by the deceleration of technology innovation in the business software market. Technology evolution, however, has been steady and progressed far enough now that I think we’re about to witness a revolution in how companies use analytics in business processes. I don’t used that overworked term lightly: I expect this to be as revolutionary as the impact that client/server computing had on transaction processing and related systems such as ERP and CRM. These analytical processes address performance management processes of all kinds, including planning, budgeting and reviews.
Topics: Big Data, Mobile, Planning, Sales Performance, Supply Chain Performance, Budgeting, Operational Performance, Analytics, Business Analytics, Business Collaboration, Business Intelligence, Business Mobility, Business Performance, Cloud Computing, Financial Performance, IBM, In-memory, Workforce Performance, Cognos, acquisition
IBM Chooses Hadoop Unity; Not Shipping the Elephant
Last week I attended the IBM Big Data Symposium at the Watson Research Center in Yorktown Heights, N.Y. The event was held in the auditorium where the recent Jeopardy shows featuring the computer called Watson took place and which still features the set used for the show – a fitting environment for IBM to put on another sort of “show” involving fast processing of lots of data. The same technology featured prominently in IBM’s big-data message, and the event was an orchestrated presentation more like a TV show than a news conference. Although it announced very little news at the event, IBM did make one very important statement: The company will not produce its own distribution of Hadoop, the open source distributed computing technology that enables organizations to process very large amounts of data quickly. Instead it will rely on and throw its weight behind the Apache Hadoop project – a stark contrast to EMC’s decision to do exactly that, announced earlier in the week. As an indication of IBM’s approach, Anant Jhingran, vice president and CTO for information management, commented, “We have got to avoid forking. It’s a death knell for emerging capabilities.”
The event brought together organizations presenting interesting and diverse use cases ranging from traditional big-data stories from Web businesses such as Yahoo to less well known scenarios such as informatics in life sciences and healthcare, by Illumina and the University of Ontario Institute of Technology (UOIT), respectively, low-latency financial services by eZly and customer demographic data by Axciom.
Eric Baldeschwieler, vice president of Hadoop development at Yahoo, shared some impressive statistics about its Hadoop usage, one of the largest in the world with over 40,000 servers. Yahoo manages 170 petabytes of data with Hadoop and runs more than 5 million Hadoop jobs every month. The models it uses to help prevent spam and others that do ad-targeting are in some cases retrained every five minutes to ensure they are based on up-to-date content. As a point of reference CPU utilization on Yahoo’s Hadoop computing resources averages greater than 30% and at its best is greater than 80%. It appears from these figures that the Hadoop clusters are configured with enough spare capacity to handle spikes in demand.
During the discussions, I detected a bit of a debate about who is the driving force behind Hadoop. According to Baldeschwieler, Yahoo has contributed 70% of the Apache Hadoop project code, but on April 12, Cloudera claimed in a press release, “Cloudera leads or is among the top three code contributors on the most important Apache Hadoop and Hadoop-related projects in the world, including Hadoop, HDFS, MapReduce, HBase, Zookeeper, Oozie, Hive, Sqoop, Flume, and Hue, among others.” Perhaps Yahoo wants to reestablish its credentials as it mulls whether to spin out its Hadoop software unit. If such a spinoff were to occur, it could further fracture the Hadoop market.
I found it interesting that the customers IBM brought to the event, while having interesting use cases, were not necessarily leveraging IBM products in their applications. This fact led me to the initial conclusion that the event was more of a show than a news conference. Reflecting further on IBM’s stated direction of supporting the Apache Hadoop distribution, I wondered what IBM Hadoop-related products they would use. IBM will be announcing version 1.1 of InfoSphere BigInsights in both a free basic edition and an enterprise edition. The product includes Big Sheets, which can integrate large amounts of unstructured Web data. InfoSphere Streams 2.0, announced in April, adds Netezza TwinFin, Microsoft SQLServer and MySQL support to other SQL sources already supported. But this event was not about those products. It was about IBM’s presence in and knowledge of the big-data marketplace. Executives did say that the IBM product portfolio will be extended “in all the places you would expect” to support big data but offered few specifics.
IBM emphasized the combination of streaming data, via InfoSphere Streams, and big data more than other big-data vendors do. The company painted a context of “three V’s” (volume, velocity and variety) of data, which attendees, Twitter followers and eventually the IBM presenters expanded to include a fourth V, validity. To illustrate the potential value of combining streaming data and big data, Dr. Carolyn McGregor, chair in health informatics at UOIT, shared how the institute is literally saving lives in neonatal intensive care units by monitoring and analyzing neonatal data in real time.
Rob Thomas, IBM vice president of business development for information management explained the role of partners in the IBM big data ecosystem. As stated above, IBM will rely on Apache Hadoop as the foundation of its work, but will partner with vendors further up the stack. Datameer, Digital Resaoning, and Karmasphere all participated in the event as examples of the types of partnerships IBM will seek.
IBM has already demonstrated, via Watson, that it knows how to deal with large-scale data and Hadoop, but to date, if you want those same capabilities from IBM, it will have to come mostly in the form of services. The event made it clear that IBM backs the Apache Hadoop effort but not in the form of new products. In effect, IBM used its bully pulpit (not to mention its size and presence in the market) to discourage others from fragmenting the market. The announcements may also have been intended to buy time for further product developments. I look for more definition from IBM on its product roadmap. If it wants to remain competitive in the big-data market, IBM needs to articulate how its products will interact with and support Hadoop. In my soon to be released Hadoop and Information Management benchmark research that I am completing will provide some facts on whether or not IBM is making the right bet on Hadoop.
Regards,
Ventana Research
Topics: Big Data, EMC, Business Intelligence, Cloudera, Greenplum, IBM, Information Applications, Information Management, InfoSphere, Strata+Hadoop
There has been a spate of acquisitions in the data warehousing and business analytics market in recent months. In May 2010 SAP announced an agreement to acquire Sybase, primarily for its mobility technology and had already been advancing its efforts with SAP HANA and BI. In July 2010 EMC agreed to acquire data warehouse appliance vendor Greenplum. In September 2010 IBM countered by acquiring Netezza, a competitor of Greenplum. In February 2011 HP announced after giving up on its original focus with HP Neoview and now has acquired analytics vendor Vertica that had been advancing its efforts efficiently. Even Microsoft shipped in 2010 its new release of SQL Server database and appliance efforts. Now, less than one month later, Teradata has announced its intent to acquire Aster Data for analytics and data management. Teradata bought an 11% stake in Aster Data in September, so its purchase of the rest of the company shouldn’t come as a complete surprise. My colleague had raised the question if Aster Data could be the new Teradata but now is part of them.
Topics: Data Warehousing, Microsoft, RDBMS, SAS, Teradata, IT Performance, Business Intelligence, Cloud Computing, Data Management, HP, IBM, Information Management, Oracle
IBM Makes InfoSphere Information Server a Force in IT
In the weeks leading up to and as part of its Information On Demand Conference that my colleague assessed, IBM introduced version 8.5 of InfoSphere Information Server and several related product updates. As my colleague suggested earlier, IBM has an ambitious agenda to provide comprehensive information management capabilities through a combination of product development and acquisitions. The breadth of this portfolio is impressive, and InfoSphere Information Server 8.5 makes significant strides in tying the various pieces together.
Topics: Enterprise Data Strategy, IT Performance, Business Analytics, Business Intelligence, CIO, Data Integration, IBM, Information Management, Information Technology
IBM Brings Business Analytics and Information Management to Center Stage
This year IBM joined its annual Information on Demand conference with the new IBM Business Analytics Forum. Some 10,000 attendees came to learn about managing information assets using analytics for business, and the value of integrating business intelligence (BI) with information assets across the enterprise. All these topics are relevant, as large organizations have created thousands of silos that house data in many enterprise and personal computing environments. The conference was highlighted by the announcement of Cognos 10 that my colleague analyzed and of IBM’s emphasis on the business value of BI for performance management. The focus on business analytics is now a key part of the company’s overall strategy, and IBM has committed more trained consultants and employees to this market than anyone else.
Topics: Enterprise Data Strategy, IT Performance, Business Analytics, Business Intelligence, CIO, IBM, Information Management
Cognos 10 Breaks Down Barriers To Business Intelligence and Analytics
On October 25, IBM introduced Cognos 10 at its Information on Demand and Business Analytics Forum in Las Vegas that I attended to review the technology closer from my examination at its recent IBM Business Analytics analyst summit in September. According to Rob Ashe, IBM’s general manager of business analytics, Cognos 10 has been developed for over six years. You’re probably aware that in that period IBM made a variety of acquisitions including Cognos itself. These acquisitions and their impact on the new product are clearly in evidence as part of the release.
Topics: Enterprise Data Strategy, Performance Management, Planning, IT Performance, Business Analytics, Business Intelligence, CIO, IBM, Information Management
IBM Innovates in Call-Routing for Agent Performance
One often-cited approach to improving the performance of contact centers and customer service agents is skills-based routing. This involves tagging data about the skills of individual agents – for example, languages spoken, training courses passed or the ability to handle well a particular type of call – and using a call-routing system to deliver calls to an extension where an agent with the requisite skills has signed in and is available. Identifying the required skills typically is done by an interactive voice response (IVR) system or perhaps through the number dialed by the caller; in the latter case, a high-value customer might call a special number and identify the issue by selecting among options in an IVR system. Either way, matching customers and their requirements with agents skilled in dealing with them is thought to increase the chance that the customer’s issue will be resolved efficiently in the first attempt.
Topics: Human Capital Management, Call Routing, Operational Performance, IBM
IBM’s Advances Business Analytics and Optimization in First Year
At its Business Analytics and Optimization (BAO) analyst summit in Washington, D.C., IBM provided direction on the state of its software and services in this category of business technology. This annual event goes back to 2005 when IBM started making BAO-related software acquisitions in earnest. I have written before about IBM’s focus on analytics and optimization (See: “IBM Fuses New Generation of Analytics for Deeper Business Optimization”), but I want to point out the company’s focus is not just on software but also on services, hardware and larger efforts. At the executive level IBM has communicated to investors and shareholders four strategic areas of focus: Business Analytics, Smarter Planet, Cloud Computing and Growth Markets. IBM sees itself as leading the business analytics market with unified services, software, hardware and a platform for them.
Topics: Operational Performance, Business Analytics, Business Intelligence, Business Performance, IBM
IBM Brings Business Analytics and Information Management to Center Stage
This year IBM joined its annual Information on Demand conference with the new IBM Business Analytics Forum. Some 10,000 attendees came to learn about managing information assets using analytics for business, and the value of integrating business intelligence (BI) with information assets across the enterprise. All these topics are relevant, as large organizations have created thousands of silos that house data in many enterprise and personal computing environments. The conference was highlighted by the announcement of Cognos 10 that my colleague analyzed and of IBM’s emphasis on the business value of BI for performance management. The focus on business analytics is now a key part of the company’s overall strategy, and IBM has committed more trained consultants and employees to this market than anyone else.
Topics: Enterprise Data Strategy, IT Performance, Business Analytics, Business Intelligence, CIO, IBM, Information Management
IBM’s Advances Business Analytics and Optimization in First Year
At its Business Analytics and Optimization (BAO) analyst summit in Washington, D.C., IBM provided direction on the state of its software and services in this category of business technology. This annual event goes back to 2005 when IBM started making BAO-related software acquisitions in earnest. I have written before about IBM’s focus on analytics and optimization (See: “IBM Fuses New Generation of Analytics for Deeper Business Optimization”), but I want to point out the company’s focus is not just on software but also on services, hardware and larger efforts. At the executive level IBM has communicated to investors and shareholders four strategic areas of focus: Business Analytics, Smarter Planet, Cloud Computing and Growth Markets. IBM sees itself as leading the business analytics market with unified services, software, hardware and a platform for them.
Topics: Operational Performance, Business Analytics, Business Intelligence, Business Performance, IBM
