Like many other industry observers I’ve heard overblown claims for information technology for decades. However, I’ve also observed that – eventually – reality catches up with vision. Finance and accounting departments are particularly resistant to change, yet because almost no corporations use adding machines or typewriters any more, it’s clear that transformative change can happen. Nonetheless, because users of business computing systems are inundated with “it’s better than ever” promotions by vendors, journalists and industry analysts, may have grown jaded and disbelieving. In the case of ERP systems that help run many organizations, that is too bad because we are finally at the point of a fundamental change in this business-critical software category.
Topics: Social Media, Supply Chain Performance, Human Capital, Mobile Technology, Office of Finance, Operational Performance, Business Analytics, Business Collaboration, Business Intelligence, Business Performance, Cloud Computing, Financial Performance
Get to Know Enterprise Spreadsheets to Improve Business Effectiveness
Ventana Research coined the term “enterprise spreadsheet” in 2004 to describe a variety of software applications that add a desktop spreadsheet’s user interface (usually that of Microsoft Excel) to components that address the issues that arise when desktop spreadsheets are used in repetitive, collaborative enterprise processes. Enterprise spreadsheets are designed to provide the best of both worlds in that they offer the ease of use and flexibility of desktop spreadsheets while overcoming their defects – chiefly inability to maintain data integrity, lack of referential integrity and dimensionality, absence of workflow and process controls, limited security and access controls as well as poor auditability. All of these issues can cause serious problems for business use, which I’ll discuss below.
Topics: Sales Performance, Supply Chain Performance, Office of Finance, Customer Performance, Operational Performance, Analytics, Business Analytics, Business Intelligence, Business Performance, Customer & Contact Center, Financial Performance, Information Management, Financial Performance Management (FPM)
Verint Adds Robotic Process Automation to Its Portfolio
Verint is an established vendor of workforce optimization products that was the top-ranked vendor in our 2015 Workforce optimization Value Index. However, like many other large vendors in this category, its product portfolio and capabilities extend beyond workforce optimization; indeed, from a glance at its home page it is not immediately obvious that workforce optimization is a main part of its portfolio. The portfolio includes actionable intelligence, customer engagement optimization, security intelligence, and fraud prevention, risk management and compliance. Workforce optimization is a key component of customer engagement optimization, as are process automation and an employee desktop system, both of which can make interaction handling and associated processes more efficient. Recently the company announced two new products that enhance these capabilities: Verint Robotic Process Automation and Verint Process Assistant.
Topics: Customer Experience, Customer Performance, Operational Performance, Call Center
Vendavo Builds Price and Revenue Optimization into Business Processes
Vendavo is a vendor of business-to-business (B2B) price and revenue optimization software, which I have written about. A major focus of the conference sessions this year at the company’s annual user group meeting was on practical approaches to successful price optimization initiatives. While this category of software has been achieving increasing acceptance, penetration is still limited in the B2B segment, which includes, for example, industrial goods and services.
Topics: Big Data, Sales Performance, Customer Performance, Operational Performance, Business Analytics, Business Performance, Financial Performance, Vendavo, price, pricing, optimization, revenue, cu
It often seems to business-to-business (B2B) marketers as if the only people who understand them are other B2B marketers. They feel that salespeople don’t get what they do day-to-day, that friends and family don’t understand what they do for a living, and most of all that the executives to whom they report have no interest in what they do – that is, until the last day of the quarter. Then they require that B2B marketers deliver positive, lead-generating and revenue-producing results in reports that detail how their efforts supported sales in the previous 90 days. And they expect those results to be reported in a format understandable to all.
Topics: Big Data, Sales Performance, Operational Performance, Analytics, Business Analytics, Business Collaboration, Business Intelligence, Business Performance, Cloud Computing, Operational Intelligence, Hive9 Marketing Performance Management
Distributed Ledgers Have Business Value beyond Bitcoin
The blockchain distributed database was invented to create the peer-to-peer digital cash called bitcoin in 2008. Although the future potential of bitcoin and other cryptocurrencies has been debated, the distributed ledger structure using a blockchain database that supports bitcoin is likely to be adopted for a range of commercial and governmental purposes. Distributed ledgers are a secure and transparent way to digitally track the ownership of assets while enabling faster transaction speeds and reducing potential for fraud. How quickly companies, governments and individuals start using distributed ledgers and for what specific purposes remain to be seen, but their use will be independent of cryptocurrencies’ fortunes. Expansion in the use of distributed ledgers will depend heavily on the success of the initial applications and whether there are major hiccups in their use.
Topics: Sales Performance, Supply Chain Performance, Customer Performance, Operational Performance, Business Performance, Financial Performance, Uncategorized, blockchain, distributed ledger, DLT, ERP, SCM, sup
As global business increases competitive pressures, marketing departments face new challenges. They must anticipate and respond to frequently changing customer preferences and produce effective programs and campaigns to attract them. In the online world where customers can jump instantly from one company to another, Marketing must develop new ways to catch and hold their attention. Doing this well requires systematic, flexible planning that begins with the CMO and engages the entire department to utilize the full portfolio of resources and act as one to serve their mission.
Topics: Sales Performance, Customer Performance, Operational Performance, Financial Performance, Uncategorized, CMO
Cloud-Based Analytics Still Don’t Deliver Self-Sufficiency
Cloud-based computing has become widespread, particularly in line-of-business applications from vendors such as Salesforce and SuccessFactors. Our benchmark research also suggests a rise in the acceptance of cloud-based analytics. We’ve seen the emergence and growth of cloud-only analytics vendors such as Domo and GoodData as well as cloud-based delivery by nearly all the on-premises analytics vendors. Almost half (48%) of organizations in our benchmark research on data and analytics in the cloud are using cloud-based analytics today, and two-thirds said they expect to be using cloud-based analytics within 12 months. In fact, only 1 percent said they do not intend to use cloud-based analytics at some point. This popularity leads to the question of how to maximize the value of investments in cloud-based analytics. We assert that one of the most important best practices for cloud-based analytics is to empower business users with modern analytics tools they can work with without relying on IT.
Topics: Sales Performance, Supply Chain Performance, Human Capital, Business Intelligence, Business Analytics, Cloud,, Customer Performance, Operational Performance, Business Analytics, Business Intelligence, Business Performance, Cloud Computing, Financial Performance, Information Management, Uncategorized
Big Data Drives Price and Revenue Optimization
Information technology enables a data-driven management style that was not feasible until powerful, affordable computers became generally available. There’s no bright line marking when this became possible; the process is ongoing. People were using financial analytics long before ENIAC, the first general-purpose computer, appeared, but the metrics available were not especially timely, broadly applicable to day-to-day situations or comprehensive enough to inform most management decision-making. Even today, there are many areas of business management where companies continue to operate much as they have in the past. One of those is pricing.
Topics: Big Data, Sales Performance, Office of Finance, Customer Performance, Operational Performance, Business Analytics, Business Performance, Financial Performance, Uncategorized
It’s widely agreed that customer experience is now the most important dynamic for business. Any organization that wants to retain loyal and even vocal customers should do everything possible to ensure and maintain customer satisfaction. Software companies, especially those that promise to provide CRM and effective interactions across any channel at any time, should be good examples of embracing the methods they prescribe for using their products. But do they?
Topics: Sales Performance, Supply Chain Performance, Human Capital, Customer Performance, Operational Performance, Business Performance, Cloud Computing, Uncategorized, NetSuite, TribeHR, HCM, HR, HRMS, Customer Experie
Next Generation of Product Information Management Empowers Digital Business
Organizations in all industries face various difficulties in managing product information. The most serious is providing complete, engaging information to consumers and customers on the internet. Newly developed products, mergers and acquisitions, changes to pricing and promotions in online commerce spur business growth, but these factors also increase the amount and complexity of product-related data and content. In addition the digital economy offers a new generation of services that are sold by subscription and packaged in various options and price points. As well, global diversification of suppliers, customers and business partners forces organizations to manage data quality and consistency in multiple locations, currencies and languages.
Topics: Big Data, Sales Performance, Supply Chain Performance, PIM, Product Information Management, Sales, Market, Customer Performance, Operational Performance, Business Analytics, Business Performance, Cloud Computing, Financial Performance, Information Management, Uncategorized, Information Optimization
Mr. President and Department of Labor: Move Aside; Let Employees Work and Learn
Through a federal rule referred to as “Overtime Rule” and part of Title 29 regulations was issued on May 18th, 2016 by the Department of Labor (DOL), the Obama administration now mandates that unless they meet criteria for exemption, employees paid less than $47,476 ($22.825 per hour) are entitled to overtime pay when they work more than 40 hours per week. The rule change, which goes into effective on December 1, 2016, is intended to apply to executive, administrative and professional employees; it has exemptions for teachers, lawyers and other specific jobs and industries.
Topics: Sales Performance, Supply Chain Performance, Customer Performance, Operational Performance, POTUS, Department of Labor, FLSA, Part 541, Overti, Business Performance, Financial Performance, Governance, Risk & Compliance (GRC), Uncategorized
Can We Trust Salesforce for Business in the Cloud?
I have been meaning to write about Salesforce since its Dreamforce 2015 conference. Salesforce provides a platform, tools and applications for business and IT who claims to be the ‘no software’ company which as you will read is exactly what happened on May 10th. Heck, Salesforce is making a lot of advances on its platform, its applications and even with Analytics and the Internet of Things. These changes are at the center of what at our analyst firm calls digital business innovation. Much of what it’s doing is very good, but now I am questioning whether the company’s foundation of business processes and technology platform has reached a point at which it can’t grow any further without impacting its own customers’ operations and success. That may be a harsh statement, but I think my reasoning will become clear as you read this perspective.
Topics: Big Data, Sales Performance, NA14, Customer Performance, Operational Performance, Business Analytics, Business Collaboration, Business Performance, Cloud Computing, Financial Performance, Uncategorized
Digital Business Innovation and Enterprise Messaging Work Well Together
Organizations are facing a digital transformation, as I have written, that is rapidly changing the applications and services that businesses use to operate and deliver information. This new digital generation addresses the expectations of consumers and business partners for information and service in real time. One example of it is enterprise messaging. Recently I wrote about the shift to this technology and the challenges it poses for organizations that lack sufficient skills. However, new messaging appliances and virtualized messaging can carry some of this burden. By interconnecting them, organizations can be more confident in their ability to support the range of information and applications that operate in real time, not only for people but on devices and machines.
Topics: Big Data, Sales Performance, Social Media, Supply Chain Performance, Enterprise messaging, Internet of Things, IoT, mid, Customer Performance, Operational Performance, Business Analytics, Business Collaboration, Business Performance, Cloud Computing, Customer & Contact Center, Financial Performance, Governance, Risk & Compliance (GRC), Information Management, Uncategorized
New Generation of Enterprise Messaging Supports Digital Transformation
Enterprise messaging is the technology backbone of communications for applications and systems within and between organizations. Both its importance and its complexity are growing as organizations increasingly have to provide real-time responses to business customers and consumers as well as their own business professionals who support them and their internal supply chains. The variety of use cases for enterprise messaging also is growing rapidly, expanding to the Internet of Things (IoT) market of sensors and devices including wearable technology; to new generations of applications and services for consumers and customers; to cloud computing and the shift to platform or infrastructure as a service (PaaS or IaaS); and to real-time big data and analytics. All of these innovations will enable these types of transformation to digital business that is impacting organizations around the world.
Topics: Big Data, Social Media, Supply Chain Performance, Enterprise messaging, Internet of Things, IoT, mid, Mobile Technology, Customer Performance, Operational Performance, Business Performance, Cloud Computing, Governance, Risk & Compliance (GRC), Information Management, Operational Intelligence, Uncategorized, Information Optimization
Zuora Enables Subscriptions to Engage Customers for Revenue Results
As the global economy transforms into a world of digital services that cross industries, including those that provide value-added services for physical products, managing the complications that arise from digital browsing, selection and purchasing of goods, as well as activation, billing and servicing of accounts, becomes a challenge. Organizations have to not just engage customers but provide satisfying experiences that keep them coming back. Our benchmark research on next-generation customer engagement shows that improving the customer experience is the most widespread impetus to improve engagement, for almost three-quarters (74%) of organizations. Few however have established business processes and applications that support these efforts, which today involve marketing, sales, customer service, operations and accounting departments. We also find that some of the largest suppliers of cloud computing software provide the worst experiences when it comes to billing for and changing existing subscriptions.
Topics: Sales Performance, Subscription, Recurring Revenue, Zuora, Customer Performance, Operational Performance, Business Analytics, Business Performance, Financial Performance, Uncategorized
Docebo Innovates Learning Management Systems for Employees and Customers
The learning management system (LMS) offers opportunity for organizations to progressively enhance the effectiveness of their workforce. An advanced LMS can be more than a digital version of an organization’s training programs for specific jobs or to achieve compliance with policies and regulations. It can provide dynamic yet informal learning that business units can create, deploy and sustain through their own efforts. Last year I outlined the benefits of this new generation of learning management systems.
Topics: Sales Performance, Supply Chain Performance, Human Capital, LMS, Customer Performance, Operational Performance, Business Analytics, Business Collaboration, Business Performance, Cloud Computing, Financial Performance, Uncategorized
Meridian Helps Communities and Customers with Learning Management System
In this highly competitive age, optimizing the potential of workers is essential. A learning management system (LMS) can increase both knowledge and engagement. Our benchmark research on next-generation learning management systems finds that adopting one can help almost half (46%) of organizations gain a competitive advantage, and more than one-third (35%) said it assists in helping customers. Expanded use of learning can engage customers, partners and others who need more information about an organization or its products and services. Thus we suggest that learning systems should be used for and made available in customer and third party communities. Doing so can enhance effective use of products and services and help reduce the volume of inbound calls to and interactions with the contact center.
Topics: Human Capital, Meridian, Learning, Learning Management Systems, L, Customer Performance, Operational Performance, Business Performance, Uncategorized
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 great many are still using spreadsheets for these critical activities. Yet our benchmark research finds that more than half (61%) who use them for commissions said this makes the effort more difficult. Elsewhere, I have seen B2B sales organizations continue down the old path of annoying prospects with direct cold calling and email instead of nurturing real relationships. For B2C sales, the digital age of search engine optimization (SEO) and pay-per-click (PPC) has begun to haunt prospects by inserting ads in our personal social media channels. My research suggests that these practices are not due to bad intentions but to force of habit and lack of desire, time and resources to develop a modern strategy and plan. Most are just managing the basics of their sales processes and relying on sales force automation (SFA) systems, reporting and dashboards, which will only produce more of the same, less than optimal results.
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
Digital Technology Agenda for Business in 2016
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 line of business. In our series of research agendas for 2016 we outline the areas of technology that organizations need to understand if they hope to optimize their business processes and empower their employees to handle tasks and make decisions effectively. Every industry, line of business and IT department will need to be aware of how new technology can provide opportunities to get ahead of, or at least keep up with, their competitors and focus on achieving the most effective outcomes.
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)
Cryptic Data: Challenges and Rewards in Finding and Using It
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 to reveal patterns, trends and associations, especially those related to human behavior and interaction. The challenges in dealing with big data include having the computational power that can scale to the processing requirements for the volumes involved; analytical tools to work with the large data sets; and governance necessary to manage the large data sets to ensure that the results of the analysis are accurate and meaningful. But that’s not all organizations have to deal with now. I’ve coined the term “cryptic data” to focus on a different, less well known sort of data challenge that many companies and individuals face.
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)
Aria Enables Effective Recurring Revenue Management
Aria Systems provides companies with software for managing subscription or recurring revenue business models. A recurring revenue business models includes three types of selling and billing structures: a one-time transaction plus a periodic service charge; subscription-based services involving periodic charges; or a contractual relationship that charges periodically for goods and services. Aria’s cloud-based software addresses key requirements of users in the marketing, sales, operations and accounting functions in this type of business.
Topics: SaaS, Sales, Sales Performance, Customer Engagement, Customer Experience, ERP, Marketing, NetSuite, Office of Finance, Recurring Revenue, customer life cycle, Customer Performance, Operational Performance, Business Analytics, Business Performance, Cloud Computing, Customer Service, Financial Performance, Business Performance Management (BPM), Sales Performance Management (SPM), billing software
IBM Redesigns Cognos to Improve User Experience and Self-Service
IBM redesigned its business intelligence platform, now called IBM Cognos Analytics. Expected to be released by the end of 2015, the new version includes features to help end users model their own data without IT assistance while maintaining the centralized governance and security that the platform already has. Our benchmark research into information optimization shows that simplifying access to information is important to virtually all (97%) participating organizations, but it also finds that only one in four (25%) are satisfied with their current software for doing that. Simplification is a major theme of the IBM Cognos redesign.
Topics: Big Data, Mobile Technology, Wearable Computing, Operational Performance, Analytics, Business Analytics, Business Intelligence, Business Performance, Governance, Risk & Compliance (GRC), Information Management, Operational Intelligence, Uncategorized, Visualization, Cognos, Information Optimization, Risk & Compliance (GRC), Watson, cognos analytics
Stibo Systems Continues to Advance PIM for Business and IT
Stibo Systems has been providing product information management (PIM) software for decades. Its work has helped many organizations worldwide take control of their product information by developing a master definition that can be published across many channels from Web to digital to print. We recognized its work with customers Delta Faucet and Masco Corp. in our 2015 Ventana Research Leadership Award in Information Management. In 2014 Stibo Systems customer Brady Corp. won a similar award for Information Optimization. I have made it clear that in our view, when it comes to use all kinds of product content and data in business processes, product information management trumps master data management. Delivering value to business with PIM is much different than managing data infrastructure with MDM. There has been much angst in varying industry analyst views on this market segment. We analyze and rate vendors more rigorously than analyst firms that look at them only through an IT lens. Our methodology and framework put business first and IT second, and that shapes how we score vendors in PIM, MDM and other aspects of the software industry.
Topics: Master Data Management, Sales, Sales Performance, Supply Chain Performance, Customer Experience, MDM, Mobile Technology, PIM, Stibo Systems, Customer Performance, Operational Performance, Business Performance, Cloud Computing, Financial Performance, Information Management, Business Performance Management (BPM), Financial Performance Management (FPM), Information Optimization, Product Information Management
Over the last four years Domo, a new brand in cloud-based data and analytics software, has worked to enable its customers to understand, collaborate and act on data to achieve business results. Led by its founder and CEO, Josh James, the company has worked to deliver software that provides both a good user experience and business value. Recently, at its 2015 customer conference Domopalooza, the company presented itself and its products to the general public. I had a chance to meet with company executives, employees and customers and view its products at this high-energy event and entertainment that I have not seen in years.
Topics: Sales Performance, Supply Chain Performance, Human Capital, Mobile Technology, Operational Performance Management (OPM), Operational Performance, Analytics, Business Analytics, Business Collaboration, Business Intelligence, Business Performance, Cloud Computing, Collaboration, Financial Performance, Governance, Risk & Compliance (GRC), Domo, Risk & Compliance (GRC), SAB Miller
Tableau Continues Evolution of Analytics Platform
Tableau Software’s annual conference, which company spokespeople reported had more than 10,000 attendees, filled the MGM Grand in Las Vegas. Various product announcements supported the company’s strategy to deliver value to analysts and users of visualization tools. Advances include new data preparation and integration features, advanced analytics and mapping. The company also announced the release of a stand-alone mobile application called Vizable . One key message management aimed to promote is that Tableau is more than just a visualization company.
Topics: Big Data, Tableau, Mobile Technology, data viz, Operational Performance, Analytics, Business Analytics, Business Intelligence, Business Performance, Governance, Risk & Compliance (GRC), Information Management, Operational Intelligence, Visualization, Information Optimization, Risk & Compliance (GRC)
Steelwedge Enables Actionable and Continuous Planning
Supply and demand chain planning and execution have grown in importance over the past decade as companies have recognized that software can meaningfully enhance their competitiveness and improve their financial performance. Sales and operations planning (S&OP) is an integrated business management process first developed in the 1980s aimed at achieving better alignment and synchronization between the supply chain, production and sales functions. A properly implemented S&OP process routinely reviews customer demand and supply resources and “replans” quantitatively across an agreed rolling horizon. The replanning process focuses on changes from the previously agreed sales and operations plan; while it helps the management team understand how the company achieved its current level of performance, its primary focus is on future actions and anticipated results. Adoption of S&OP has increased as software to support the process has become more powerful and affordable and as a growing list of companies demonstrated its value in producing meaningfully improved business results. Even without adopting a full-scale S&OP management approach, companies can benefit from better coordination and collaboration between their supply and demand functions. Software plays an important role here, too, in facilitating this coordination and collaboration.
Topics: Planning, SaaS, Sales, Sales Performance, Supply Chain Performance, Forecast, Human Capital, Mobile Technology, Supply Chain Planning, Operational Performance, Analytics, Business Analytics, Business Collaboration, Business Performance, Cloud Computing, Financial Performance, Sales Performance Management (SPM), Sales Planning, Supply Chain, Demand Chain, Integrated Business Planning, SCM Demand Planning, S&OP
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
Pentaho Poised for Exploiting Internet of Things
PentahoWorld 2015, Pentaho’s second annual user conference, held in mid-October, centered on the general availability of release 6.0 of its data integration and analytics platform and its acquisition by Hitachi Data Systems (HDS) earlier this year. Company spokespeople detailed the development of the product in relation to the roadmap laid out in 2014 and outlined plans for its integration with those of HDS and its parent Hitachi. They also discussed Pentaho’s and HDS’s shared intentions regarding the Internet of Things (IoT), particularly in telecommunications, healthcare, public infrastructure and IT analytics.
Topics: Big Data, Pentaho, Mobile Technology, Wearable Computing, Operational Performance, Analytics, Business Analytics, Business Intelligence, Business Performance, Governance, Risk & Compliance (GRC), Information Management, IOT, Operational Intelligence, Uncategorized, Information Optimization, Risk & Compliance (GRC)
Historically workforce management has been centered on tracking time and attendance, absences and leaves. Organizations view the time and attendance system as the top priority to integrate with the payroll system; in our payroll management benchmark research half (51%) of organizations called it very important. However, only one in five have integrated the two to streamline processes. So limited an administrative and operational focus does not contribute to improving worker productivity or manager efficiency. Moreover, such an approach can foster employee turnover and undermine worker satisfaction and loyalty. Our research analysis underscores that paying insufficient attention to the worker experience can degrade employees’ sense of accomplishment and in some situations also degrade the customer experience.
Topics: Human Capital, Human Capital Management, Mobile Technology, Wearable Computing, Operational Performance, Business Analytics, Business Collaboration, Business Performance, Cloud Computing, Financial Performance, HR, Risk & Compliance (GRC), Workforce Management
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 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.
Topics: Big Data, Predictive Analytics, Mobile Technology, Operational Performance, Analytics, Business Analytics, Business Intelligence, Business Performance, IOT, Operational Intelligence, Uncategorized
Tidemark Enables More Effective Business Planning
Tidemark Systems offers a suite of business planning applications that enable corporations to plan more effectively. The software facilitates rapid creation and frequent updating of integrated company plans by making it easy for individual business functions to create their own plans while allowing headquarters to connect them to create a unified view. I coined the term “integrated business planning” a decade ago to highlight the potential for technology to substantially improve the effectiveness of planning and budgeting in corporations, and it remains true that integrating business planning can produce superior results. Companies that maintain direct links between functional or departmental plans more often have a planning process that works well than others. Our next-generation business planning benchmark research shows that two-thirds (66%) of those that maintain such links have a planning process that works well or very well, compared to 40 percent that copy information from individual plans into an overall plan and just 25 percent in which plans have little or no connection.
Topics: Planning, Sales Performance, Supply Chain Performance, Customer Experience, Human Capital, Marketing Planning, Reporting, Budgeting, Operational Performance, Analytics, Business Performance, Customer & Contact Center, Financial Performance, Business Performance Management (BPM), Business Planning, Financial Performance Management (FPM), Demand Planning, Integrated Business Planning, Project Planning
Subscriber Experience Impacts Recurring Revenue
The digital economy has changed the way many companies provide products. Some no longer deliver packaged products but provide them as services over a network, typically the Internet. Telecommunications providers in particular are familiar with this business model and have developed processes and systems that use innovations such as product bundles that include elements of fixed charges (such as cost of installation) and variable charges based on usage (such as the number of calls made) and means of registering customers on the network, collecting usage data, invoicing and collections. This model has been adopted increasingly by the software industry, replacing a single license fee and maintenance charges for on-premises products with software as a service in which users access products over the Internet and pay per user and/or for usage. Adoption of this model by other types of business has led them to think of customers as subscribers.
Topics: Big Data, Sales Performance, Customer Analytics, Customer Engagement, Customer Experience, Marketing, Customer Performance, Operational Performance, Analytics, Cloud Computing, Customer Service, Financial Performance, CRM
Splunk Takes on Internet of Things and Bolsters Enterprise Security
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 related areas of machine learning and the Internet of Things (IoT) most caught my attention.
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 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
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 Structured Query Language (SQL). Big data includes large volumes of data that does not fit into rows and columns, such as sensor data, text data and Web log data. Such data must be transformed and modeled before it can fit into paradigms such as SQL.
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
Operationalize Predictive Analytics for Significant Business Impact
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 7%) and middleware (9% vs 2%). This trend is not surprising since operationalizing predictive analytics – that is, building predictive analytics directly into business process workflows – improves companies’ ability to gain competitive advantage: those that deploy predictive analytics within business processes are more likely to say they gain competitive advantage and improve revenue through predictive analytics than those that don’t.
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
Business Case for Predictive Analytics is Simpler Than You Think
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 presents the reasoning for initiating a project or task. A compelling business case communicates the nature of the proposed project and the arguments, both quantified and unquantifiable, for its deployment.
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
Cloud-Based Analytics Requires Hybrid Data Access and Integration
As I discussed in the state of data and analytics in the cloud recently, usability is a top evaluation criterion for organizations in selecting cloud-based analytics software. Data access of cloud and on-premises systems are essential antecedents of usability. They can help business people perform analytic tasks themselves without having to rely on IT. Some tools allow data integration by business users on an ad hoc basis, but to provide an enterprise integration process and a governed information platform, IT involvement is often necessary. Once that is done, though, using cloud-based data for analytics can help, empowering business users and improving communication and process .
Topics: Big Data, Sales Performance, Software as a Service, Mobile Technology, Customer Performance, Operational Performance, Analytics, Business Analytics, Business Collaboration, Business Intelligence, Business Mobility, Cloud Computing, Information Management, Operational Intelligence, Data
Optimization Analytics Comes to the Mass Market
Optimization is the application of algorithms to sets of data to guide executives and managers in making the best decisions. It’s a trending topic because using optimization technologies and techniques to better manage a variety of day-to-day business issues is becoming easier. I expect optimization, once the preserve of data scientists and operations research specialists will become mainstream in general purpose business analytics over the next five years.
Topics: Big Data, Performance Management, Customer Performance, Operational Performance, Analytics, Business Analytics, Business Performance, Financial Performance, Information Management, Price Optimization
Data Preparation is Essential for Predictive Analytics
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 the predictive analysis process that create the most challenges for organizations. To allow more time for actual analysis, organizations must work to improve their data-related processes.
Topics: Big Data, Microsoft, Predictive Analytics, alteryx, Customer Performance, Operational Performance, Analytics, Business Analytics, Business Intelligence, Business Performance, Operational Intelligence, Oracle, Information Optimization
Is NPS the Best Measure of Customer Experience?
Recently my colleague Tony Cosentino wrote an analyst perspective asserting that big data analytics will displace net promoter score (NPS) for more effectively measuring the entire customer experience. This prompted a response from Maxie Schmidt-Subramanian, asserting that big data and NPS aren’t the only ways to measure customer experience success. The main point of Tony’s piece, as I interpret it, is that NPS is just a number, but big data analytics can reveal much more about customer behavior and intentions, and it can link these to business outcomes. On the other hand Maxie argues that whether or not companies use NPS, when it comes to measuring the customer experience, they rely too much on surveys and no one metric does the entire job. While to a large extent I agree with both arguments, from a business perspective I don’t think either addresses three very important questions. The first is what actually is the customer experience? Second, how should it be measured? And third, what is the best use of big data in relation to customer experience?
Topics: Big Data, Customer Performance, Operational Performance, Business Analytics, Business Collaboration, Business Performance, Cloud Computing, Call Center
Host Analytics Modeling Cloud Simplifies Planning and Reporting
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 problematic when used in collaborative, repetitive enterprise processes such as planning and budgeting. While it’s easy to create a model, it can quickly become a barrier to more integrated planning across the business units in an enterprise. As I’ve noted before, software vendors and IT departments have been trying – mainly in vain – to get users to switch from spreadsheets to a variety of dedicated applications. They’ve failed to make much of a dent because although these applications have substantial advantages over spreadsheets when used in repetitive, collaborative enterprise tasks, these advantages are mainly realized after the model, process or report is put to use in the “production” phase (to borrow an IT term).
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 independently run FinancialForce, which sells a cloud-based ERP system built on the Force.com platform.
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. The shift is important because the IT industry has spent a quarter of a century trying to make enterprise reporting (that is, descriptive analytics) suitable for an average individual to use with limited training. Today the market for reporting, dashboards and performance management software is saturated and largely a commodity, so the software industry – and IBM in particular – is turning its attention to the next frontier: predictive and prescriptive analytics. Prescriptive analytics holds particular promise for IBM’s analytics portfolio.
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 Highlights Importance of Strategic Finance
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 the company’s performance. This is one of the more important ways in which finance organizations can play a more strategic role in corporate management, an objective that more finance organizations are pursuing. Half of the companies participating in our Office of Finance benchmark research said that their finance organization has undertaken initiatives to enhance its strategic value to the company within the last 18 months.
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
SaaS Buyers and Customers Beware: Data Issues are Cloudy
There’s a long history of companies not paying close enough attention to the contractual elements of acquiring software. Today, this extends into the world of cloud computing. Many companies are choosing to acquire software services through cloud-based providers and increasingly rely on access to cloud-based data, as is shown by our forthcoming benchmark research, in which a large majority of participating companies said that having access to data in the cloud is important or very important. As they say, I’m not a lawyer and I don’t play one on television, so what follows is intended to be nothing more than a conversation starter with legal counsel. But I do advise companies on how to use software to improve their business performance and provide guidance on what software they need to achieve their objectives. From that perspective, let me offer this blanket recommendation: Your company should examine the terms and conditions of its contracts carefully to be certain that it has the ability to control, access and retain its data in single or multitenant cloud-based systems. It should be prepared to add terms and conditions to any software-as-a-service (SaaS) contract to preserve ownership of and access to the data as well as other proprietary elements of that business relationship.
Topics: SaaS, Sales, Customer Experience, Governance, contract, e-discovery, Customer Performance, Operational Performance, Cloud Computing, Financial Performance, Business Performance Management (BPM)
The Importance of Well-Managed Processes for Planning
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 assertions related to solving a business issue. Our recently completed next-generation business planning research provides insight into the importance of managing the planning process well and identifies some components of good management.
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
Recurring Revenue Challenges Finance Departments
As I noted in a recent analyst perspective note the recurring revenue business model is gaining increasing use worldwide. Our recently completed recurring revenue benchmark research shows that companies are using this business approach because they find that it can convey a strategic advantage in creating additional sales opportunities, making future revenues more predictable, enhancing their customers’ experience and increasing customer loyalty. However, recurring revenue businesses have unique challenges, especially in finance and accounting departments because most ERP systems (the ones that handle the accounting function) are not designed to manage the specific requirements of a recurring revenue businesses.
Topics: SaaS, Customer Experience, NetSuite, Office of Finance, Recurring Revenue, Zuora, Customer Performance, Operational Performance, Business Performance, Cloud Computing, Customer Service, Financial Performance, billing software, Intacct
Alpine Chorus Brings Collaboration and Predictive Analytics to Big Data
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 a tactical viewpoint, organizations may not spend enough time defining a common vocabulary for big data analytics prior to starting the program; our research shows that fewer than half of organizations have agreement on the definition of big data analytics. It makes sense therefore that, along with a technical infrastructure and management processes, explicit communication processes at the beginning of a big data analytics program can increase the chance of success. We found these qualities in the Chorus platform of Alpine Data Labs, which received the Ventana Research Technology Innovation Award for Predictive Analytics in September 2014.
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
How to Get Business Users to Switch from Spreadsheets
In our benchmark research at least half of participants that use spreadsheets to support a business process routinely say that these tools make it difficult for them to do their job. Yet spreadsheets continue to dominate in a range of business functions and processes. For example, our recent next-generation business planning research finds that this is the most common software used for performing 11 of the most common types of planning. At the heart of the problem is a disconnect between what spreadsheets were originally designed to do and how they are actually used today in corporations. Desktop spreadsheets were intended to be a personal productivity tool used, for example, for prototyping models, creating ad hoc reports and performing one-off analyses using simple models and storing small amounts of data. They were not built for collaborative, repetitive enterprise-wide tasks, and this is the root cause of most of the issues that organizations encounter when they use them in such business processes.
Topics: Planning, Sales Performance, ERP, Forecast, GRC, Office of Finance, Reporting, closing, dashboard, enterprise spreadsheet, Excel, Customer Performance, Operational Performance, Analytics, Business Analytics, Business Collaboration, Business Intelligence, Business Performance, Financial Performance, Information Management, Data, Risk, application, benchmark, Financial Performance Management
A New Generation of Analytics Offers Help for Sales
All lines of business are under pressure to meet targets and deliver expected results, but none is under more pressure than Sales. Like other organizations it must use information to derive insights about progress and problems and to decide what changes to make. Today businesses collect and analyze data from more data sources in more forms than ever before. To understand it they need effective analytics, and again none need it more than Sales.
Topics: Big Data, Sales, Sales Performance, Operational Performance, Business Analytics, Business Collaboration, Business Intelligence, Cloud Computing, Financial Performance, Information Applications, Sales Performance Management, SFA
Integrated Business Planning Is More Effective
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 general conclusions.
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
Maximizing the performance and value of people in the workforce should be a primary focus for any business these days. It is a complex task, especially for larger organizations, and chances for success can be increased by investment in human capital management (HCM) applications. In this competitive software market SAP is making a strong push, aided by acquisitions in the last three years of SuccessFactors for talent management and more recently Fieldglass for contingent labor management. Recently I attended the SAP HCM analyst summit to hear about its direction and plans to grow its market share. The company has made progress since our last analyst perspective on it. Mike Ettling, SAP’s president for the HR line of business, discussed its newly refined strategy and organizational structure; the company has added executives from around the globe to emphasize its commitment to helping human resources organizations.
Topics: SAP, HCM, Human Capital Management, Learning, Performance, Recruiting, SuccessFactors, Operational Performance, Analytics, Business Analytics, Business Performance, Cloud Computing, Financial Performance, Compensation, HRMS, Vendor Management Systems, Workforce Analytics, Workforce Management, Workforce Planning
Data is an essential ingredient for every aspect of business, and those that use it well are likely to gain advantages over competitors that do not. Our benchmark research on information optimization reveals a variety of drivers for deploying information, most commonly analytics, information access, decision-making, process improvements and customer experience and satisfaction. To accomplish any of these purposes requires that data be prepared through a sequence of steps: accessing, searching, aggregating, enriching, transforming and cleaning data from different sources to create a single uniform data set. To prepare data properly, businesses need flexible tools that enable them to enrich the context of data drawn from multiple sources, collaborate on its preparation to serve business needs and govern the process of preparation to ensure security and consistency. Users of these tools range from analysts to operations professionals in the lines of business.
Topics: Big Data, Sales Performance, Supply Chain Performance, Customer Performance, Operational Performance, Analytics, Business Analytics, Business Collaboration, Business Intelligence, Business Mobility, Business Performance, Cloud Computing, Data Preparation, Financial Performance, Information Applications, Information Management, Location Intelligence, Operational Intelligence, Workforce Performance, Information Optimization
Process Trumps Innovation in Business Analytics
The idea of not focusing on innovation is heretical in today’s business culture and media. Yet a recent article in The New Yorker suggests that today’s society and organizations focus too much on innovation and technology. The same may be true for technology in business organizations. Our research provides evidence for my claim.
Topics: Big Data, Sales, Customer Performance, Operational Performance, Analytics, Business Analytics, Business Intelligence, Business Performance, Financial Performance, Information Management
MicroStrategy Powers Up Security for Analytics and BI
At its annual MicroStrategy World conference, this provider of analytics and business intelligence systems for business and IT introduced a new version of its flagship product, MicroStrategy 9s. Among many advances it adds enterprise grade security with MicroStrategy Usher as part of the maintenance update to its 9.4.1 release. Security is increasingly critical for analytics and BI. Technologies that work intensively with data, including reporting, business intelligence, analytics and data preparation, have access to a range of applications and databases and could leave gaps in access controls and security of essential business data. Already in 2015 the data breach at Anthem put more than 80 million medical records at risk. Our benchmark research in big data analytics finds that integration into security and user access frameworks is a very important capability to 37 percent of organizations.
Topics: Big Data, Mobile, Sales Performance, Governance, Operational Performance, Analytics, Business Analytics, Business Collaboration, Business Intelligence, Business Mobility, Business Performance, Cloud Computing, Customer & Contact Center, Information Applications, Information Management, Risk & Compliance (GRC), Security
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
Making Business Planning More Accurate, Effective and Useful
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 a program of action to achieve some overall objective. But it’s more than that. The process of planning involves discussions about objectives and the resources and tactics that people need to achieve them. When it’s done right, planning is the best way to get everyone onto the same page to ensure that the company is well organized in executing strategy. Setting and to a greater degree changing the company’s course require coordination. Being well coordinated in this case means being able to understanding the impact of the policies and actions in your part of the company on the rest of the company.
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
Research Agenda: What Matters for Human Capital Management in 2015
Managing investments in people and their performance is critical to every organization. It also is complicated. To support the various aspects of human capital management (HCM), organizations often use a variety of technology including systems for human resource management, talent management, workforce management and payroll management. Often these separate systems use their own information and are not well connected to each other. Today they are deployed both on-premises and in cloud computing environments, which further complicates integration. This situation disrupts processes and challenges HR departments and leaders to invest time and resources to correct it.
Topics: Supply Chain Performance, HCM, Human Capital, Human Capital Management, Operational Performance, Business Performance, Customer & Contact Center, Financial Performance, HRMS, Talent Management, Workforce Management
New Generation of Learning Management Systems Delivers Business Value
As organizations look to improve the competency and skills of their workers, learning management system (LMS) technology can help improve their efforts. Our latest benchmark research in next-generation learning management systems finds a range of progress in this regard. Our Performance Index analysis places organizations almost evenly between the two lowest (51%) and the two highest (49%) of four levels of performance. The results differ by size of company as measured by number of employees. For example, only 8 percent of small companies reach the highest Innovative level of performance, compared to 26 percent of very large companies, the largest percentage of any size. Analyzed by industry, the Finance, Insurance and Real Estate sector performs best: Two out of three (65%) are at the top two levels. We attribute this in part to the finance industry’s focus on processes and its need to comply with regulations and teach employees how to do so.
Topics: HCM, Human Capital, Human Capital Management, LMS, Learning Management, Operational Performance, Business Performance, HR, Talent Management
Research Agenda: Technology Innovation for Business in 2015
This year presents much opportunity for organizations to use a new generation of technology to compete better, be more efficient in their business operations and engage their workforces to their full potential. We have identified and begun to track the following next-generation technologies: analytics, big data, collaboration, cloud computing, mobile technology and social media, and in 2014 we added wearable computing to the list. In 2015 we will intensify our focus on all of them specifically in our research agenda and as part of our line of business research agendas.
Topics: Big Data, Sales Performance, Social Media, Supply Chain Performance, Governance, Mobile Technology, Wearable Computing, Operational Performance, Analytics, Business Analytics, Business Collaboration, Business Intelligence, Business Performance, Cloud Computing, Collaboration, Customer & Contact Center, Financial Performance, Information Applications, Information Management, Location Intelligence, Operational Intelligence, Workforce Performance, Risk & Compliance (GRC), Technology Innovation
Research Agenda: Business Analytics Trends and Possibilities in 2015
Our benchmark research into business technology innovation shows that analytics ranks first or second as a business technology innovation priority in 59 percent of organizations. Businesses are moving budgets and responsibilities for analytics closer to the sales operations, often in the form of so-called shadow IT organizations that report into decentralized and autonomous business units rather than a central IT organization. New technologies such as in-memory systems (50%), Hadoop (42%) and data warehouse appliances (33%) are top back-end technologies being used to acquire a new generation of analytic capabilities. They are enabling new possibilities including self-service analytics, mobile access, more collaborative interaction and real-time analytics. In 2014, Ventana Research helped lead the discussion around topics such as information optimization, data preparation, big data analytics and mobile business intelligence. In 2015, we will continue to cover these topics while adding new areas of innovation as they emerge.
Topics: Big Data, Operational Performance, Analytics, Business Analytics, Business Collaboration, Business Intelligence, Business Performance, Cloud Computing, Customer & Contact Center, Data Preparation, Information Applications, Information Management, Operational Intelligence, analytical application, analytics in the cloud
Actuate and OpenText: The Background and Potential Future
Actuate, a company known for powering BIRT, the open source business intelligence technology, has been delivering large-scale consumer and industrial applications for more than 20 years. In December the company announced it would be acquired by OpenText of Ontario, Canada. OpenText is Canada’s largest software vendor with more than 8,000 employees and a portfolio of enterprise information management products. It serves primarily large companies. The attraction of Actuate for such a company can be seen in a number of its legacy assets as well as more current acquisitions and developments but also its existing customer base. It was also awarded a 2014 Ventana Research Business Leadership Award.
Topics: Big Data, F-Type, OpenText, Operational Performance, Analytics, Business Analytics, Business Intelligence, Business Performance, Customer & Contact Center, Financial Performance, Information Applications, Operational Intelligence, Digital Technology
Managing Sales Compensation Requires Commitment
Sales organizations are under constant pressure to maximize their potential. To accomplish this they need to integrate their people and processes with those of the finance and operations groups and have access to all available information and useful technology. This is particularly true in the area of sales compensation, which when managed properly recognizes accomplishments, rewards success and motivates people. However, we find that few sales organizations take a comprehensive approach to sales compensation management.
Topics: Sales, Sales Performance, Sales Compensation, Sales Operations, Operational Performance, Financial Performance, commission
Beqom Simplifies Compensation in Sophisticated Ways
It is more important than ever for businesses to attract and retain the best talent, and managing compensation effectively is an essential tool for doing so. Obviously companies must pay well to compete, but managing salary, merit pay, variable pay and incentives for employees, tracking their hiring anniversaries and conducting accurate performance appraisals make total compensation management a complex process. All of this must be managed within budget and policy guidelines. As organizations grow and require more employees, the challenges multiply and the difficulty increases. Our benchmark research finds that inconsistent execution is the top impediment to effective compensation management for nearly half (47%) of organizations. Software designed for this purpose can help.
Topics: HCM, Human Capital Management, Sales Compensation, Operational Performance, Business Performance, Customer & Contact Center, Financial Performance, Workforce Performance, CFO, Compensation, finance, HR, Talent Management, TCM
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 access to file sizes less than 100,000 rows of data and 50 columns; the personal edition is a monthly subscription that enables larger files and more storage.
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
ManyWho Brings New Approach to Workflow and Business Efficiency
ManyWho was launched in May 2013 by two former Salesforce.com executives, Dave Norris and Steve Wood. They branded it the Cloud Workflow Company, It offers an innovative approach that allows organizations to create workflows, automatically convert them into business applications and run the apps on multiple types of devices. The key to its success lies in the second and third steps, which differentiate ManyWho from most other business process optimization vendors; the process maps that users produce are not static representations of how business processes should work but instead become apps that monitor what is happening and enable the next step in completing the process.
Topics: Customer Experience, Self-service, Operational Performance, Business Collaboration, Cloud Computing, Customer & Contact Center, Customer Service, Call Center, Contact Center, CRM
Organizations today create and collect data at ever faster rates, and this introduces challenges in ensuring that data is not just managed but used in a consistent manner for a range of operational and analytic tasks. This is made more difficult by new data sources whose definitions vary from standard and widely used formats. Making all information available and consistent is essential to support business processes and decision-making. A key technology tool for this effort is master data management (MDM). Every business area needs MDM, whether it deals with customers, products, employees, finance or others individually or collectively in what is called multidomain MDM. It is an essential tool for data governance across an organization, which has become a focal point for improvement as many organizations spend significant time in data-related tasks. Our benchmark research on information optimization shows that preparing data for analysis (47%) and reviewing data for quality and consistency issues (45%) are the two information tasks that consume the most time. Properly used MDM enables data stewards and other IT professionals to improve the consistency and quality of departmental and enterprise data.
Topics: Big Data, Data Quality, Master Data Management, Sales, Sales Performance, Social Media, Supply Chain Performance, Golden Records., MDM, Operational Performance, Analytics, Business Analytics, Business Performance, Cloud Computing, Customer & Contact Center, Data Management, Financial Performance, Information Applications, Information Management, Workforce Performance
When Salesforce.com began in 1999 its stated intent was “to reinvent CRM in the cloud.” In 15 years, the company has achieved much more than that, having a major impact on the way IT systems are delivered: Large numbers of vendors have followed its example to provide cloud-based systems. It added a platform as a cloud – a software development environment in the cloud – to its portfolio, introduced an apps store where many vendors sell their products and services, moved into social and mobile computing, and expanded CRM in the cloud to marketing, sales and service clouds. And it continues to innovate in the fast-changing business software market.
Topics: Big Data, Social Media, Customer Analytics, Customer Experience, Customer Feedback Management, Speech Analytics, Self-service, Operational Performance, Analytics, Business Collaboration, Cloud Computing, Customer & Contact Center, Customer Service, Call Center, Contact Center, Contact Center Analytics, CRM, Text Analytics
Big data has great promise for many organizations today, but they also need technology to facilitate integration of various data stores, as I recently pointed out. Our big data integration benchmark research makes it clear that organizations are aware of the need to integrate big data, but most have yet to address it: In this area our Performance Index analysis, which assesses competency and maturity of organizations, concludes that only 13 percent reach the highest of four levels, Innovative. Furthermore, while many organizations are sophisticated in dealing with the information, they are less able to handle the people-related areas, lacking the right level of training in the skills required to integrate big data. Most said that the training they provide is only somewhat adequate or inadequate.
Topics: Big Data, Operational Performance, Business Analytics, Business Intelligence, Business Performance, CIO, Cloud Computing, Data Integration, Information Applications, Information Management, Strata+Hadoop
A company’s enterprise resource planning (ERP) system is one of the pillars of its record-keeping and process management architecture and is central to many of its critical functions. It is the heart of its accounting and financial record-keeping processes. In manufacturing and distribution, ERP manages inventory and some elements of logistics. Companies also may use it to handle core human resources record-keeping and to store product and customer master data. Often, companies bolt other functionality onto the core ERP system or extensively modify it to address limitations in the system. Because of the breadth of its functionality, those unfamiliar with the details of information technology may perceive ERP as a black box that controls just about everything. So it’s not surprising that when a company’s information technology becomes more of an issue than a solution, many assume that the ERP system needs replacing. This may or may not be true, so it’s important for a company to assess its existing ERP system in the context of its business requirements (as they are now and will be in the immediate future) and evaluate options for it.
Topics: Sales Performance, Supply Chain Performance, ERP, Office of Finance, Operational Performance, Analytics, Business Performance, CIO, Customer & Contact Center, Financial Performance, Workforce Performance, CFO, Data, HR
SYSPRO Offers Supply Chain Visibility for Midsize Companies
SYSPRO is a 35-year-old ERP vendor that focuses on products for midsize companies, particularly those in manufacturing and distribution. In manufacturing, SYSPRO supports make, configure and assemble, engineer to order, make to stock and job shop environments. The company attempts to differentiate itself through vertical specialization and its years of ongoing development, which can reduce the need for customization and cut the cost of initial and ongoing configuration to suit the needs of companies in these industries, thereby cutting the total cost of ownership. Worldwide its targeted verticals include electronics, food, machinery and equipment and medical devices; in the United States, it adds automotive parts (original equipment and after-market) and energy.
Topics: Performance Management, Supply Chain Performance, ERP, Human Capital Management, Office of Finance, Reporting, cloud ERP, container, Operational Performance, Analytics, Business Analytics, Business Performance, Cloud Computing, Collaboration, Dashboards, Financial Performance, Supply Chain, SCM, S&OP, Digital Technology
Pentaho Presents Big Data Orchestration Platform with Governance and Data Refinery
PentahoWorld, the first user conference for this 10-year-old supplier of data integration and business intelligence that provides business analytics, attracted more than 400 customers in roles ranging from IT and database professionals to business analysts and end users. The diversity of the crowd reflects Pentaho’s broad portfolio of products. It covers the integration aspects of big data analytics with the Pentaho Data Integration tools and the front-end tools and visualization with the Pentaho Business Analytics. In essence its portfolio provides end-to-end data to analytics through what they introduced as Big Data Orchestration that brings governed data delivery and streamlined data refinery together on one platform.
Topics: Big Data, Pentaho, Governance, IT Research, Operational Performance, Analytics, Business Analytics, Business Intelligence, Business Performance, Customer & Contact Center, Information Applications, Information Management, Operational Intelligence, Risk & Compliance (GRC), PDI
Salesforce Analytics Cloud Delivers Wave of Elegant Dashboards
At this year's Dreamforce more than 140,000 people gathered in San Francisco to share the excitement about the use of technology for business. Salesforce.com’s annual conference has reached megashow status, which is a mixed blessing: Dreamforce remains social in its design, but it has become impersonal due to its size. In any case Salesforce had plenty to show off. The company has continued to enhance its cloud-based business applications for sales and customer service, and in the last year it has added marketing through acquisitions. It also has advanced the attraction of its cloud computing platform; even IT departments see its approach as a simple way to use and build applications, especially mobile ones which the ubiquity of smartphones and tablets have made critical to business. Cloud computing is becoming the defacto approach for new applications and software for business and now IT, and its importance continues to grow: Our benchmark research on business technology innovation shows that it is important or very important to more than half (57%) of organizations. At Dreamforce, Salesforce announced Salesforce1 Lightning (available in 2015), a way to assemble mobile applications that can operate across platforms. Salesforce makes the technical details of the mobile platform transparent and facilitates assembly of mobile applications.
Topics: Sales, Sales Performance, Salesforce.com, Operational Performance, Analytics, Business Analytics, Business Intelligence, Business Performance, Customer & Contact Center
Splunk Vies to Become Big Data Platform for Operational Intelligence
At a conference of more than 3,500 users, Splunk executives showed off their company’s latest tools. Splunk makes software for discovering, monitoring and analyzing machine data, which is often considered data exhaust since it is a by-product of computing processes and applications. But machine data is essential to a smoothly running technology infrastructure that supports business process. One advantage is that because machine data not recorded by end users, it is less subject to input error. Splunk has grown rapidly by solving fundamental problems associated with the complexities of information technology and challenging assumptions in IT systems and network management that is rapidly being referred to as big data analytics. The two main and related assumptions it challenges are that different types of IT systems should be managed separately and that data should be modeled prior to recording it. Clint Sharp, Splunk’s director of product marketing, pointed out that network and system data can come from several sources and argued that utilizing point solution tools and a “model first” approach does not work when it has to deal with big data and a question-and-answer paradigm. Our research into Operational Intelligence finds that IT systems are most important information source in almost two thirds (62%) of organizations. Splunk used the conference to show how it has brought to these data management innovations the business trends of mobility, cloud deployment and security.
Topics: Big Data, Operational Performance, Business Analytics, Business Intelligence, Business Performance, Cloud Computing, Customer & Contact Center, Operational Intelligence
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
Data-Driven Business Processes Essential for Optimization
When applying information technology to drive better business performance, companies and the systems integrators that assist them often underestimate the importance of organizing data management around processes. For example, companies that do not execute their quote-to-cash cycle as an end-to-end process often experience a related set of issues in their sales, marketing, operations, accounting and finance functions that stem from entering the same data into multiple systems. The inability to automate passing of data from one functional group to the next forces people to spend time re-entering data and leads to fragmented and disconnected data stores. The absence of a single authoritative data source also creates conflicts about whose numbers are “right.” Even when the actual figures recorded are identical, discrepancies can crop up because of issues in synchronization and data definition. Lacking an authoritative source, organizations may need to check for and resolve errors and inconsistencies between systems to ensure, for example, that what customers purchased was what they received and were billed for. The negative impact of this lack of automation is multiplied when transactions are complex or involve contracts for recurring services.
Topics: Big Data, Mobile, Sales Performance, Supply Chain Performance, ERP, Office of Finance, Operations, Management, close, closing, computing, end-to-end, Operational Performance, Analytics, Business Performance, Cloud Computing, Data Management, Information Applications, Information Management, CRM, Data, finance, FPM
Qlik was an early pioneer in developing a substantial market for a visual discovery tool that enables end users to easily access and manipulate analytics and data. Its QlikView application uses an associative experience that takes an in-memory, correlation-based approach to present a simpler design and user experience for analytics than previous tools. Driven by sales of QlikView, the company’s revenue has grown to more than $.5 billion, and originating in Sweden it has a global presence.
Topics: Big Data, Data Visualization, QlikView, Sales Performance, Supply Chain Performance, Tableau, Operational Performance, Analytics, Business Analytics, Business Intelligence, Business Performance, Customer & Contact Center, Information Applications, Data Discovery, Lumira, Qlik, Qlik Qlik Sense
Infor recently held its annual Inforum user group meeting, along with a series of sessions with analysts. The $2 billion business software company has products in the major categories of ERP (including enterprise financial management), human capital management, customer relationship management and performance management among others.
Topics: Microsoft, Mobile, SaaS, Sales, Sales Performance, Salesforce.com, Supply Chain Performance, ERP, HCM, Human Capital, Office of Finance, Dynamics AX, Dynamics GP, Dynamics NAV Dynamics SL, Kenandy, PSA, Sage Software, Unit4, Operational Performance, Analytics, Business Analytics, Business Collaboration, Business Performance, Cloud Computing, Collaboration, Customer & Contact Center, Financial Performance, Workforce Performance, CFO, FinancialForce, HR, Infor, Workday, HANA, Plex, Professional Services Automation
Like most vendors of on-premises ERP and financial management software, in moving to the cloud Oracle has focused on developing for existing and potential customers the option of multitenant software as a service (SaaS). (I’m using the term “ERP” in its most expansive sense, to include such systems employed by all types of companies for accounting and financial management rather than only systems that are used by manufacturing and distribution companies.) Oracle’s ERP Cloud Service includes Fusion Financials as well as planning and budgeting, risk and controls management, procurement and sourcing, inventory and cost management, product master data management, and project portfolio management. Although to date our benchmark research has consistently found that a large majority of finance departments do not prefer to deploy software in the cloud, we also observe the balance shifting in this direction. SaaS vendors that address finance department requirements have demonstrated faster revenue growth than those that offer products only on-premises. Like other vendors Oracle must establish itself as a credible vendor of cloud ERP and financial management services to be well positioned as market demand shifts further in that direction. The company made sizable investments in acquiring ERP and financial management software in the 2000s (notably PeopleSoft – which included JD Edwards – and Hyperion), and the investments have paid off as many companies have opted to keep their existing systems (and continue to pay maintenance) rather than replace them. Our Office of Finance benchmark research finds that over the past decade the average age of ERP systems in use has increased to 6.4 years from 5.1 years. The longevity of these systems is partly the result of the slow pace of innovation in underlying technologies used for business computing. Even so, modest year-by-year changes are adding up to make replacement a more attractive option while negative attitudes toward the cloud are dissipating. To retain its installed base, it’s important for any established vendor to have solid customer references and the ability to make sales of cloud products as demand for ERP and financial management software in the cloud increases.
Topics: Microsoft, Mobile, SaaS, Sales, Salesforce.com, ERP, HCM, Human Capital, Office of Finance, Dynamics AX, Dynamics GP, Dynamics NAV Dynamics SL, Kenandy, PSA, Sage Software, Unit4, Operational Performance, Analytics, Business Performance, Cloud Computing, Collaboration, Customer & Contact Center, Financial Performance, CFO, FinancialForce, HR, Infor, Workday, HANA, Plex, Professional Services Automation
What’s Next?: The Interplay of Software and Hardware with Business and Consumers
“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 and service markets as well as the new ways of performing work, creating products and fashioning services that they engender. For example, the emerging collection of wearable computing devices seems likely to generate a new wave of software/hardware innovation, as my colleague Mark Smith has noted. This said, I think that the idea of alternating cycles no longer applies. It would be convenient if we could assign discrete time periods to hardware dominance and software dominance, but like echoes as they fade, the reverberations are no longer as neatly synchronized as they once were. Moreover, adoption and adaptation of technology by consumers reflected in the design of work, products and services always lags – and lags in different ways, further blurring the timing of cycles.
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
I recently wrote about NICE Systems’ acquisition of Causata to enhance its analytics capabilities and expand from workforce optimization into customer experience management. NICE recently released Customer Engagement Analytics, which is designed to analyze customer interaction data to help companies improve the customer experience at every touch point. NICE calls this optimizing the customer journey.
Topics: Customer Analytics, Customer Experience, Operational Performance, Analytics, Business Analytics, Business Intelligence, Cloud Computing, Customer & Contact Center, Customer Service, Call Center, Contact Center, Contact Center Analytics, CRM
Oracle has a large and diverse set of products and now has most of its business applications operating in the private and public cloud. However, some recent acquisitions have enabled it to focus on cloud-based-products for managing the customer experience. Our next generation customer engagement research has found that customer experience is the top impetus for improving customer engagement as found by almost three quarters (74%) of organizations. Oracle has created a customer experience suite that includes marketing, commerce, service, sales, CPQ and social cloud. In particular the acquisition of RightNow has become the foundation of Oracle Service Cloud.
Topics: Sales Performance, Social Media, Customer Analytics, Customer Experience, Social CRM, Mobile Apps, Operational Performance, Analytics, Business Analytics, Cloud Computing, Collaboration, Customer & Contact Center, Customer Service, Call Center, Contact Center, Contact Center Analytics, CRM
In the past year Workday has been making efforts to improve its human capital management (HCM) suite focused directly on the core human resources management systems and talent management software. In my previous analyst perspective about Workday I looked at its mobile capabilities for HCM. These additions, in concert with the enhancements discussed here, offer useful improvements. I have also noticed changes in the HCM market that impact all large competitors in it, including Workday. Before discussing these changes, it might help to summarize the company’s past three major releases.
Topics: Big Data, Mobile, Social Media, HCM, Recruiting, Operational Performance, Analytics, Business Analytics, Business Collaboration, Business Intelligence, Cloud Computing, Customer & Contact Center, Workforce Performance, Workday, HR/Payroll
Businesses Must Make Self-Service Reporting a Priority
One of the charitable causes to which I devote time puts on an annual vintage car show. The Concours d’Élegance dates back to 17th century France, when wealthy aristocrats gathered with judges on a field to determine who had the best carriages and the most beautiful horsepower. Our event serves as the centerpiece of a broader mission to raise money for several charitable organizations. One of my roles is to keep track of the cars entered in the show, and in that capacity I designed an online registration system. I’ve been struck by how my experiences with a simple IT system have been a microcosm of the issues that people encounter in designing, administering and using far more sophisticated ones. My most important take-away from this year’s event is the importance of self-service reporting. I suspect that most senior corporate executives – especially those in Finance – fail to appreciate the value of self-service reporting. It frees up the considerable resources organizations collectively waste on unproductive work, and it increases responsiveness and agility of the company as a whole.
Topics: Planning, Sales Performance, Supply Chain Performance, Office of Finance, Reporting, Self-service, Budgeting, dashboard, Operational Performance, Analytics, Business Analytics, Business Intelligence, Business Performance, Customer & Contact Center, Financial Performance, Information Applications, Workforce Performance, Data, Financial Performance Management, Microsoft Excel, Spreadsheets
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.
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 Future of Integrating ERP and Applications in the Cloud
In recent years line-of-business applications including accounting, human resources, manufacturing, sales and customer service have appeared in the cloud. Cloud -based software as a service (SaaS) has replaced on-premises applications that were previously part of ERP and CRM environments. They have helped companies become more efficient but have also introduced interoperability challenges between business processes. Their advantage is that cloud software can be rented, configured and used within a day or week. The disadvantage is that they don’t always connect with one another seamlessly, as they used to and when managed by a third party there is limited connectivity to integrate them.
Topics: Sales Performance, Supply Chain Performance, ERP, Office of Finance, Order Management, Operational Performance, Business Analytics, Business Performance, CIO, Cloud Computing, Customer Service, Financial Performance, CFO, SFA
At its annual industry analyst summit last month and in a more recent announcement of enterprise support for parallelizing the R language on its Aster Discovery Platform, Teradata showed that it is adapting to changes in database and analytics technologies. The presentations at the conference revealed a unified approach to data architectures and value propositions in a variety of uses including the Internet of Things, digital marketing and ETL offloading. In particular, the company provided updates on the state of its business as well as how the latest version of its database platform, Teradata 15.0, is addressing customers’ needs for big data. My colleague Mark Smith covered these announcements in depth. The introduction of scalable R support was discussed at the conference but not announced publicly until late last month.
Topics: Big Data, Teradata, IT Performance, Operational Performance, Business Analytics, Business Intelligence, Business Performance, Customer & Contact Center, Information Applications, Information Management, Internet of Things, Operational Intelligence, Teradata Aster
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
Information Builders Innovates in Data Visualization and Operational Intelligence
Information Builders announced two major new products at its recent annual user summit. The first was InfoDiscovery, a tool for ad hoc data analysis and visual discovery. The second was iWay Sentinel, which allows administrators to manage applications in a proactive and dynamic manner. Being a privately held company, Information Builders is not a household name, but it is a major provider of highly scalable business intelligence (BI) and information management software to companies around the world.
Topics: Mobile, IT Performance, Operational Performance, Analytics, Business Analytics, Business Intelligence, Business Performance, Customer & Contact Center, Information Applications, Information Builders, Information Management, Internet of Things, Operational Intelligence, InfoDiscovery
New Generation of Recurring Revenue and Billing Inspired from Cloud Computing
Much has been written about how cloud computing changes the way businesses source their software and services. For software companies, instead of being installed inside the company, software like business applications run on a computer installed at an external site. If the external site is not shared with any other business, this is called a private cloud; if it is owned and operated by a third party and supports more than one business, it is called a public cloud. In the case of public clouds, users access the applications via the Internet, and increasing they can do this while out of the office, using laptops or mobile devices like smartphones and tablets. The main advantages of this model are that companies don’t need to invest in hardware or support staff to install and maintain hardware or software like these applications, the vendor handles system updates and users can work anywhere (including on the move) by logging in through a Web browser or an application designed specifically for mobile technology. Our research confirms that the overall importance is overall important in more than half (57%) of organizations.
Topics: Sales Performance, Social Media, Customer Analytics, Customer Experience, Customer Feedback Management, Social CRM, Speech Analytics, Voice of the Customer, Mobile Apps, Self-service, Operational Performance, Analytics, Business Performance, Cloud Computing, Collaboration, Customer & Contact Center, Customer Service, Financial Performance, Call Center, Contact Center, Contact Center Analytics, CRM, Desktop Analytics, Text Analytics, Unified Communications, Workforce Force Optimization
8x8 Integrates Communications and Contact Center in the Cloud
8x8, Inc. was founded in the 1980’s to provide semiconductor products to the emerging personal computer market; in 2002 it was relaunched to focus on Voice over IP (VoIP) services. By 2008 it had become the second-largest independent VoIP provider in the U.S., and its product, Virtual Office, was widely used by businesses for telecommunications. In 2011 8x8 acquired Contactual and entered the cloud-based call center market. Today the company brands itself as a “communication and collaboration solutions provider in the cloud” and has two main product lines, Virtual Office and Virtual Contact Center.
Topics: Customer Analytics, Customer Experience, Speech Analytics, Voice of the Customer, Operational Performance, Analytics, Cloud Computing, Customer & Contact Center, Customer Service, Call Center, Contact Center, Contact Center Analytics, Desktop Analytics, Text Analytics, Unified Communications
Teradata continues to expand its information management and analytics technology for big data to meet growing demand. My analysis last year discussed Teradata’s approach to big data in the context of its distributed computing and data architecture. I recently got an update on the company’s strategy and products at the annual Teradata analyst summit. Our big data analytics research finds that a broad approach to big data is wise: Three-quarters of organizations want analytics to access data from all sources and not just one specific to big data. This inclusive approach is what Teradata as designed its architectural and technological approach in managing the access, storage and use of data and analytics.
Topics: Big Data, Sales Performance, Supply Chain Performance, Teradata, IT Performance, Operational Performance, Analytics, Business Analytics, Business Intelligence, Business Performance, Cloud Computing, Customer & Contact Center, Financial Performance, Information Applications, Information Management, NoSQL, Workforce Performance, JSON, UDA
Genesys and IBM to Improve Customer Engagement with IBM Watson
The contact center market continues to shift focus from handling customer calls as efficiently as possible to providing superior customer engagement across multiple touch points. The latest advancement is an joint announcement from IBM and Genesys who have signed a partnership agreement to provide “smarter customer engagement”. The agreement includes a technology partnership and a joint marketing plan, and brings together IBM’s Watson Engagement Advisor and Genesys’ Customer Experience Platform.
Topics: Social Media, Customer Experience, Genesys, Mobile Apps, Self-service, Operational Performance, Cloud Computing, Customer & Contact Center, Customer Service, Call Center, Cognitive Computing, Contact Center, CRM, IBM Watson
Xactly Delivers New Inspiration for Sales to Maximize its Potential
In an analyst perspective at the beginning of this year I wrote that sales organizations must step beyond conventional wisdom to generate the best outcomes. One such step is to invest in software that delivers immediate value to manage sales and be efficient in its operations. Our latest research on sales organizations finds that inconsistent execution (53%), scattered information (48%) and limited visibility (42%) are motivating investment to improve sales. At CompCloud, its annual conference, Xactly unveiled advances in its software to help improve the effectiveness and productivity of sales organizations. Spokespeople said the company’s sales compensation products have helped users manage US$10 billion in commissions in the past two years.
Topics: Sales, Sales Performance, Forecast, Sales Commission, Sales Compensation, Operational Performance, Analytics, Business Analytics, Business Performance, Cloud Computing, Financial Performance, Insights, Quotas, Xactly
The keynote theme at this year’s Sapphire conference in Orlando was Simple. Top executives from SAP, a software company associated with complexity, stated and restated that its future direction is to simplify all aspects of its products and the ways customers interact with them and the company itself. SAP’s longstanding and commendable aspiration to thoroughness in its software will be giving way to an emphasis on elegance in its engineering. This objective is more than admirable – SAP’s future competitiveness depends on it. Changing the fundamental architecture of SAP’s offerings – already well under way with HANA – is absolutely necessary. The design underpinnings in SAP’s ERP applications, for example, have been shaped by technology limitations that have disappeared, as Dr. Hasso Plattner, one of the company’s founders, pointed out in his keynote. However, the relevant issue facing SAP and the software market is how far the company can progress toward this goal and how fast.
Topics: Microsoft, Mobile, SaaS, Sales, Salesforce.com, Supply Chain Performance, ERP, HCM, Human Capital, Office of Finance, Dynamics AX, Dynamics GP, Dynamics NAV Dynamics SL, Kenandy, PSA, Sage Software, Unit4, Operational Performance, Analytics, Business Collaboration, Business Performance, Cloud Computing, Collaboration, Financial Performance, CFO, FinancialForce, HR, Infor, Workday, HANA, Plex, Professional Services Automation
NICE Systems is best known for its suite of workforce optimization products [http://www.nice.com/workforce-optimization-lobby] that I recently assessed. However, after attending its user event last year, I wrote in 2013 that it was extending its portfolio and changing its focus to concentrate on packaged solutions that address specific business needs. Over the years the company’s portfolio has evolved through a combination of in-house development, acquisitions and partnerships. This approach enabled NICE to build a broad portfolio quickly, but it also created challenges in integrating the separate products into a homogeneous whole. One of the key acquisitions was Fizzback, which gave NICE entry to the market for customer feedback and voice of the customer (VOC) software. In this context I was keen to learn during a recently briefing how the company is integrating these products into a broader VOC portfolio.
Topics: 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, Desktop Analytics, Text Analytics, Workforce Force Optimization
Informatica Unveils New Platform and Tools for Information Optimization
At the Informatica World 2014 conference, the company known for its data integration software unveiled the Intelligent Data Platform. In the last three years Informatica has expanded beyond data integration and now has a broad software portfolio that facilitates information management within the enterprise and through cloud computing. The Intelligent Data Platform forms a framework for its portfolio. This expression of broad potential is important for Informatica, which has been slow to position its products as capable of more than data integration. A large part of the value it provides lies in what its products can do to help organizations strengthen their enterprise architectures for managing applications and data. We see Informatica’s sweet spot in facilitating efficient use of data for business and IT purposes; we call this information optimization.
Topics: Big Data, Master Data Management, Sales Performance, Supply Chain Performance, Operational Performance, Business Analytics, Business Intelligence, Business Performance, CIO, Cloud Computing, Customer & Contact Center, Data Integration, Data Management, Financial Performance, Informatica, Information Applications, Information Management, Workforce Performance, Information Optimization, Product Information Management, application
Epicor used its recent user group conference to explain its strategic direction and product roadmap. The company is the result of multiple mergers of business software corporations over the past 15 years; its target customers are midsize companies and midsize divisions of larger organizations. Its most significant products are Epicor (ERP software aimed mainly at manufacturing and distribution companies) and Activant Solutions (software for small and midsize retailers, including a point-of-sale system). The company also has software that manages CRM, HR and human capital and supply chains, and provides financial performance management (FPM) and governance, risk and compliance (GRC) capabilities. These components of the software suites are adequate for the needs of many of the company’s target customers and are not intended as stand-alone applications.
Topics: Microsoft, Mobile, SaaS, Sales, Supply Chain Performance, Customer Experience, ERP, HCM, Human Capital, Office of Finance, communications, Dynamics AX, Dynamics GP, Dynamics NAV Dynamics SL, Epicor, Sage Software, UI, Unit4, Operational Performance, Analytics, Business Analytics, Business Performance, Cloud Computing, Collaboration, Customer & Contact Center, Financial Performance, Workforce Performance, CFO, FinancialForce, HR, Infor, Workday, Social, Financial Performance Management, FPM, Plex
Alteryx Analytics Brings Power of Predictive and Big Data to Market
Alteryx has released version 9.0 of Alteryx Analytics that provides a range of data to predictive analytics in advance of its annual user conference called Inspire 2014. I have covered the company for several years as it has emerged as a key player in providing a range of business analytics from predictive to big data analytics. The importance of this category of analytics is revealed by our latest benchmark research on big data analytics, which finds that predictive analytics is the most important type of big data analytics, ranked first by nearly half (47%) of research participants. The new version 9 includes new capabilities and integration with a range of new information sources including read and write capability to IBM SPSS and SAS for range of analytic needs.
Topics: Big Data, Sales Performance, Social Media, Supply Chain Performance, alteryx, data blending, IT Performance, Operational Performance, Analytics, Business Analytics, Business Intelligence, Business Performance, Customer & Contact Center, Financial Performance, Information Management, Location Intelligence, Operational Intelligence
Pitney Bowes Brings New Software for Better Business Insights
I recently attended the 2014 global analyst summit in San Francisco hosted by Pitney Bowes, an old technology company (now in business for 94 years) that has a new focus in its software along with an entirely new executive team. These leaders unveiled a business and technology strategy meant to demonstrate the company’s commitment to software. For many years it has been known mostly for mail services and postage metering, but Pitney Bowes also has made investments in software that can help companies change their business processes by optimizing their information assets. Over the past few years the company has had its ups and downs as regards its corporate mission, as I wrote in 2012. Most of the turmoil was due to conflicting agendas from past management, but other factors were the company was not as clear in communicating the value of its combined software portfolio and not capitalizing on the demand in lines of business and IT for information management and analytics software.
Topics: Big Data, Sales Performance, Social Media, Pitney Bowes, IT Performance, Operational Performance, Business Analytics, Business Intelligence, Business Performance, Cloud Computing, Customer & Contact Center, Information Applications, Information Management, Location Intelligence
On its website Panviva describes itself as providing “business process guidance,” which is a phrase I was notfamiliar with. As I searched the site, I found messages such as”it’s all about customer experience,” “the right information for the right person at the right time” and “navigating complexity.” All of these describe issues contact center agents face on a daily basis, and I concluded that Panviva competes in a space I track. My benchmark research into the agent desktop and its impact on customer servicefinds that agents play a significant role in the customer experience, but many have to work with a desktop that impedes them in accessing systems and information, and some of the interactions they handle are complex.It was this perspective I brought to a briefing with Steve Pappas, Panviva’s SVP for North America.
Topics: Customer Experience, Mobile Apps, Self-service, Operational Performance, Analytics, Cloud Computing, Collaboration, Customer & Contact Center, Customer Service, Business Process Management, Call Center, Contact Center
My benchmark research into the smart agent desktop finds that in nearly two-thirds (65%) of companies, contact center agents have to access multiple systems as they try to resolve customer interactions. These range from channel management systems (such as telephone, email, text messages and social media) to business applications (such as CRM, ERP and knowledge management), performance dashboards and analysis, and messaging systems. Having to use all these systems leads agents to make mistakes, increases average handling times, produces data errors and reduces satisfaction for both agents and customers. The last two are especially important because the research shows that very satisfied agents twice as often as less satisfied ones meet important customer-related metrics such as customer satisfaction, net promoter and customer effort scores, and satisfied customers are likely to remain loyal, buy more and recommend the company to people they know. A smart agent desktop can alleviate these issues by making it easier for agents to access systems, navigate between them, enter data and view important information.
Topics: Sales Performance, Social Media, Customer Experience, Mobile Apps, Self-service, Operational Performance, Analytics, Cloud Computing, Collaboration, Customer & Contact Center, Customer Service, Call Center, Contact Center, Workforce Force Optimization
From my perspective, Infor’s strategy to accelerate revenue growth is to offer companies more innovation and a lower and more predictable cost of ownership than its rivals in the business software market; its products include the major categories of ERP, human resources and financial performance management. It aims to innovate by focusing on improving the user experience and to lower costs by redesigning its software architecture. The innovation stems from a fresh approach to designing interactions between users and business software: simplifying it and providing a more modern user experience that people have grown accustomed to in their personal software. The better cost-effectiveness rests on designing its software to reduce the expense of integrating and customizing it. One element of this is creating richer functionality for narrowly segmented micro-verticals. Another is offering cloud-based versions built on less expensive open source infrastructure and third-party commodity services. The software markets that Infor serves are mature and offer limited growth. So to be successful the company must increase both its market share and its share of a company’s IT spend (capturing internal IT spending and outlays to third-party consultants and systems integrators). To prove that the company’s strategy is working will require sustained organic growth (excluding new acquisitions) in revenues.
Topics: Microsoft, Mobile, SaaS, Sales, Sales Performance, Supply Chain Performance, Customer Experience, ERP, HCM, Human Capital, Office of Finance, Dynamics AX, Dynamics GP, Dynamics NAV Dynamics SL, Sage Software, UI, Unit4, Operational Performance, Analytics, Business Analytics, Business Collaboration, Business Performance, Cloud Computing, Customer & Contact Center, Financial Performance, Information Management, Workforce Performance, CFO, FinancialForce, HR, Infor, Workday, Financial Performance Management, FPM, Plex
Few sales organizations realize their full potential, partly because they don’t execute well. We urge organizations to move beyond conventional wisdom in how they think about executing sales processes and have placed methods for making improvement to sales execution at the center of our research on sales in 2014. In our recent research on sales forecasting almost half (44%) of sales organizations said they have impediments that are motivating management to consider further investment in sales technology, and the most common of those is inconsistent execution (for 53%). Many sales organizations don’t use training in a consistent manner and fail to automate processes to gain efficiency.
Topics: Sales, Sales Performance, Salesforce.com, Qvidian, Sales Coaching, Sales Force Automation, Operational Performance, Business Analytics, Cloud Computing, SFA
Successful Sales Forecasting Requires Dedicated Technology
Sales forecasting is an essential process for most businesses. It helps guide the efforts not only of the sales function but also of finance, operations, manufacturing and customer service. Our recently released sales forecasting benchmark research reveals significant insights and best practices that can help companies optimize the effectiveness of this process. I recently wrote that most sales organizations need to make significant changes to the way they do sales forecasting. In that analyst perspective, I examined aspects of technology that can make sales forecasting a much more efficient process than it is in most organizations that use software not designed for sales forecasting.
Topics: Sales, Sales Performance, Sales Forecasting, Operational Performance, Business Analytics, Business Intelligence, Cloud Computing, Information Applications, SFA
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 data and bigger issues with it than midsize ones. But companies of all sizes ignore this at their peril: Data quality, which includes accuracy, timeliness, relevance and consistency, has a profound impact on the quality of work done, especially in analytics where the value of even brilliantly conceived models is degraded when the data that drives that model is inaccurate, inconsistent or not timely. That’s a key finding of our finance analytics benchmark research.
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
Big Data Analytics Require Best Practices in Using Technology
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 to be made, which I discussed recently.
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
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
Equifax Delivers Insightful Analytics for Compliance with Affordable Care Act
Pressure to comply with requirements of the Affordable Care Act (ACA) is a looming challenge for most organizations today. Many go through numerous manual iterations such as running reports and compiling data into spreadsheets from benefits, payroll and HR systems to calculate whether their employees are eligible. As my colleague Stephan Millard explains in “Is Your Organization Technology Ready for the Affordable Care Act?”, the ACA applies to organizations with 50 or more full-time employees who work more than 30 hours a week; individuals not covered by an employer can get insurance through the government. There are a great many details for employers to address in the ACA, and most HR departments lack a smooth process and effective technology to generate the information to determine compliance.
Topics: Equifax, Human Capital Analytics, Office of Finance, Operational Performance, Analytics, Business Analytics, Business Intelligence, Business Performance, Cloud Computing, Financial Performance, Governance, Risk & Compliance (GRC), Information Applications, Information Management, Workforce Performance
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 that a majority of companies continue to use spreadsheets for their planning activities. Almost all (83%) operations departments use spreadsheets for their plans, as do 60 percent of sales and marketing units. Yet the same research shows that satisfaction with spreadsheets as a planning tool is considerably lower than satisfaction with dedicated planning applications. But despite general agreement in companies that the planning process is broken and spreadsheets are a problem, companies seem reluctant to break the bad habit of using spreadsheets. This conclusion suggests that either switching to dedicated software hasn’t been easy enough or that the results of doing it have not been compelling enough to motivate change. Anaplan intends to address both of these issues.
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 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
Technology Makes a Difference for Location Analytics
Our latest benchmark research into the market for location analytics software finds significant demand for location-related technology that can improve business outcomes and generate relevant information for various types of users. (Location analytics is an extension of business analytics that can enhance the sophistication of data and processes by adding a geographic context.) My last analyst perspective on this topic discussed the business value of insights based on geography and what organizations are doing to advance their efforts here. Our research also shows, however, that most still lack satisfaction and confidence in using the technology. Just 12 percent of all participants said they are very satisfied with the location information and analytics available in their organization. Further analysis shows that satisfaction increases with use of a dedicated application for location analytics: 71 percent of those are satisfied or very satisfied, substantially more than those using location analytics within a BI tool (22%); findings are similar for both B2B and B2C use. We find similar levels of confidence in the quality of location information: 15 percent of those using a dedicated application are very confident in their location analytics. Confidence in the reliability of such information is essential to more organizations adopting location analytics.
Topics: Big Data, Sales Performance, Social Media, Supply Chain Performance, GIS, Location Analytics, IT Performance, Operational Performance, Business Analytics, Business Collaboration, Business Intelligence, Business Performance, Cloud Computing, Customer & Contact Center, Financial Performance, Information Applications, Information Management, Location Intelligence, Operational Intelligence, Data
Customer Analytics Research Reveals Required Capabilities for Software
Our recently released research into next-generation customer analytics shows that the most participants (52%) use spreadsheets as a customer analytics tool. I recently wrote that while these popular tools are adequate for some tasks, they are not suitable for analyzing large volumes and many types of customer data. So I think it is appropriate that one in four (26%) participants have adopted a dedicated customer analytics tool and a further 29 percent are planning to invest in such a tool in the next 24 months.
Topics: Social Media, Customer Analytics, Speech Analytics, Voice of the Customer, IT Performance, Operational Performance, Analytics, Business Analytics, Business Collaboration, Business Intelligence, Business Performance, Cloud Computing, Customer & Contact Center, Financial Performance, Information Applications, Information Management, Location Intelligence, Operational Intelligence, Call Center, Contact Center, Contact Center Analytics, Desktop Analytics, Text Analytics
Ceridian Expands Workforce Management to Human Capital Management
At its recent 2014 analyst day Ceridian showed the progress it has made on its Ceridian and Dayforce human capital management (HCM) platform since last year’s launch of its broader HCM portfolio. Ceridian’s overall HCM business, which the company says had revenue of $950 million in 2013 and now has more than 100,000 customers, consists largely of payroll-related products and services such as tax filing and payroll cards, but also benefits, human resources and workforce management products.
Topics: Mobile, SaaS, Social Media, HCM, Operational Performance, Analytics, Business Analytics, Business Collaboration, Business Intelligence, Business Performance, Cloud Computing, Collaboration, Workforce Performance, Ceridian, Document Management, HR, Talent Management
Big Data Analytics Research Reveals Benefits of Investment
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 organic data, the bringing together of analytics and data in a single system, and a corresponding move away from the technology-oriented three Vs of big data to the business-oriented three Ws of data. Our big data analytics research confirms these trends but also reveals some important subtleties and new findings with respect to this important emerging market. I want to share three of the most interesting and even surprising results and their implications for the big data analytics market.
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
Interactive Intelligence Advances Contact Center Software Portfolio
Building a contact center is growing in complexity as companies struggle to support customers’ ever-higher expectations. Customers now insist on engaging with companies through the channel of their choice, often from a mobile device, and at a time of their choosing. If they interact with a person, they expect that person to have the social and technical skills to resolve their issues quickly and effectively. If they use any form of self-service, they expect the technology to help rather get in the way of speaking with a person. And of course many disgruntled customers don’t hesitate to publish their views on social media.
Topics: Social Media, Customer Analytics, Customer Experience, Customer Feedback Management, Social CRM, Speech Analytics, Voice of the Customer, Mobile Apps, Self-service, Operational Performance, Analytics, Cloud Computing, Collaboration, Customer & Contact Center, Customer Service, Call Center, Contact Center, Contact Center Analytics, CRM, Desktop Analytics, Text Analytics, Unified Communications, Workforce Force Optimization
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
Convergence is the Microsoft Dynamics business software user group’s meeting. Dynamics’ core applications are mainly in the accounting and ERP category, descendants of products Microsoft acquired: Great Plains (now GP), Solomon (SL), Navision (NAV) and Damgaard’s Axapta (AX), to which Microsoft has added its own CRM application. It has been more than a decade since the acquisitions of Great Plains (which itself had already purchased Solomon Software), and Navision, Damgaard and the software applications family has evolved steadily if slowly since then. More recently, Microsoft has added cloud services that simplify and improve the connection between remote users and the on-premises core systems, as well as integration with Office365.
Topics: Microsoft, SaaS, Sales, Sales Performance, Salesforce.com, ERP, HCM, Human Capital, Office of Finance, Consulting, distribution, Dynamics AX, Dynamics GP, Dynamics NAV Dynamics SL, PSA, Sage Software, Unit4, Operational Performance, Analytics, Business Performance, Cloud Computing, Customer & Contact Center, Financial Performance, CFO, FinancialForce, HR, Infor, Workday, Plex, Professional Services Automation
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 globally for its analytics software. Recently it has become a more significant presence in data management as well. SAS provides applications for various lines of business and industries in areas as diverse as fraud prevention, security, customer service and marketing. To accomplish this it applies analytics to what is now called big data, but the company has many decades of experience in dealing with large volumes of data. Recently SAS set a goal to be the vendor of choice for the analytic, data and visualization software needs for Hadoop. To achieve this aggressive goal the company will have to make significant further investments in not only its products but also marketing and sales. Our benchmark research on big data analytics shows that three out of four (76%) organizations view big data analytics as analyzing data from all sources, not just one, which sets the bar high for vendors seeking to win their business.
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
Customer Analytics Deserve More Than Spreadsheets
I recently completed two closely related benchmark research reports, on next-generation customer engagement and next-generation customer analytics. The research on customer engagement shows that companies on average engage with customers through seven or eight communication channels and that almost every business unit except IT engages with customers. To provide customers with personalized, in-context and consistent experiences across these channels, companies need an up-to-date, complete view of their customers that gives those who interact with them the information they need to decide how to respond. However, the customer analytics research shows that the majority of companies don’t have access to such information and analysis. The most common analytics tool for more than half of companies is spreadsheets in 52 percent of organizations. Although spreadsheets meet individual users’ needs for ad-hoc analysis, they are inadequate for enterprise processes such as customer analytics. Almost three-fifths (57%) of companies in the research said that using spreadsheets makes it difficult to produce accurate and timely customer analysis.
Topics: Customer Analytics, Customer Experience, Speech Analytics, Voice of the Customer, Operational Performance, Analytics, Business Analytics, Business Intelligence, Business Performance, Customer & Contact Center, Governance, Risk & Compliance (GRC), Information Management, Call Center, Contact Center, Contact Center Analytics, Desktop Analytics, Text Analytics
Adding geographic and location context to business information enables organizations to develop fuller understanding and optimize the activities of people that use the information. We call this location intelligence, and to achieve it requires location analytics, which focus on that context where the processing and presentation of geography and spatial aspects of data are utilized. Analysis of geographic information can provide business insights that help organizations make better business decisions. I have written about this new generation of location analytics previously and noted that it can provide fresh analytic perspectives on information collected and integrated from in-house applications and across the Internet.
Topics: Sales Performance, Supply Chain Performance, Customer Analytics, GIS, Location Analytics, 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
Building a Better Business Case for Buying Software
When it comes to making a business case for software investments, many people fail to recognize that the case itself is just one part of what amounts to an internal sales and marketing effort that they must perform well to be successful. Focusing only on the numbers and assumptions in a spreadsheet is not enough. Making a successful business case requires an understanding of the audience’s perspective and motivations. Since the individuals who will review the business case may not be sufficiently aware of the issues that are behind it and their seriousness, it may be necessary to begin an awareness-building program before presenting the business case. And because the benefits of software investments can be difficult to quantify, executive sponsors are useful in achieving acceptance of these calculations. Unfortunately, many business cases founder because proponents do not realize the importance of taking a sales and marketing approach.
Topics: Planning, Sales Performance, Supply Chain Performance, ERP, Office of Finance, Research, budgeting and planning, ROI, Operational Performance, Analytics, Business Performance, Customer & Contact Center, Financial Performance, Workforce Performance, CFO, CRM, business plan, capital spending, Financial Performance Management, FPM, SCM, Software
The Sales Forecast Requires Commitment not Status Quo
In today’s highly competitive sales environment, where success depends on meeting the specific needs of buyers, an accurate and timely sales forecast is a critical tool for optimizing business outcomes. I discussed this as part of our 2014 research agenda for sales, noting that linking the forecast to commissions, quotas and territories is a requirement for success. We recently completed new benchmark research on sales forecasting to ascertain the state of the processes and technology sales organizations use. This research continues to find less than adequate efforts by organizations to improve their sales forecasting process and insufficient information about the full revenue potential from accounts and customers.
Topics: Sales, Sales Performance, Supply Chain Performance, Sales Forecasting, Sales Operations, Operational Performance, Business Analytics, Business Collaboration, Business Intelligence, Business Performance, Cloud Computing, Customer & Contact Center, Financial Performance, Information Applications, Information Management, SFA
FinancialForce Broadens Its Reach with ERP and More
FinancialForce recently introduced FinancialForce ERP, a family of cloud-based software designed to support a variety of customer-centric businesses such as professional services organizations or companies that specialize in business and industrial distribution. Many of these types of businesses are midsize or small (having 50 to 1,000 employees) and can benefit from the integration of FinancialForce’s accounting, professional services automation, human capital management (HCM) and supply chain management (SCM) software. The company added the last two capabilities at the end of 2013 with the acquisitions of Vana Workforce and Less Software, respectively, which I commented on. Like FinancialForce’s, their software runs on the Salesforce1 platform, which means that integration of these elements was straightforward. It also enables companies that use or are planning to use salesforce.com for sales and customer service to simplify integration of those with the operational and back-office software, by enabling single sign-on, end-to-end process management and a single data source for reporting and analysis. This integration can significantly reduce or even eliminate the need to re-enter information into systems or to use spreadsheets, documents and email to manage processes. With all of the data available in a single system, creating reports and automating their distribution becomes easier. All of this, in turn, should cut the amount of time and effort spent on administrative and clerical functions and enhance the productivity of the organization.
Topics: SaaS, Sales, Sales Performance, Salesforce.com, Supply Chain Performance, ERP, HCM, Human Capital, Office of Finance, Consulting, distribution, PSA, Unit4, Operational Performance, Analytics, Business Performance, Cloud Computing, Customer & Contact Center, Financial Performance, Workforce Performance, FinancialForce, HR, Professional Services Automation, SCM
Wearable Computing is in Fashion and Ready for Business
In the near future, technology will be something we wear or attach comfortably to our bodies. Wearable computers have been evolving for some time, and while that might seem futuristic to the uninformed, in the technology industry it is rapidly becoming real. This trend is important for businesses to note, as our business technology innovation research shows that it is very important to more than half (56%) of organizations to find methods to use technology innovation to support both business processes and their people. Mobile technology is the third-most important innovative technology, after analytics and collaboration, and innovators will use all three together. Many organizations focus on acquiring and retaining the best possible workforce, which after all is their most valuable asset.
Topics: Sales Performance, Social Media, Supply Chain Performance, HCM, Human Capital Management, Wearable Computing, Operational Performance, Business Analytics, Business Collaboration, Business Intelligence, Business Performance, Cloud Computing, Customer & Contact Center, Information Applications, Information Management, Operational Intelligence, Workforce Performance, Talent Management
Oracle Modernizes HR with Mobile and Wearable Computing
At Oracle’s first-ever HCM World conference, the technology company demonstrated its commitment to human resources customers, explaining its strategy for Modern HR in the Cloud, which is focused on meeting the needs of employees in a large, dispersed workforce. The conference was insightful both intellectually and practically in its discussions of how workforces are changing. Oracle also showed its commitment by having both President Mark Hurd and CEO Larry Ellison present keynotes. This was the first time both have addressed a conference other than the flagship Oracle OpenWorld. It is worth watching the replays of their talks, which reveal the company’s motivation and investment in human capital management (HCM). In developing its HCM products Oracle has in mind multigenerational workforces that require software that is adaptable to people, competencies and new technologies such as mobile devices and social collaboration and recognizes the imperative to access workforce information and analytics immediately. The rebranded Oracle HCM Cloud Service has gained significant momentum, as my colleague Stephan Millard pointed out in his recent analysis of Oracle’s HCM portfolio. Taking a global approach it supports users in 196 countries, 34 languages and multiple currencies and operates entirely in a cloud environment.
Topics: Sales Performance, Social Media, Supply Chain Performance, Human Capital Analytics, Human Capital Management, Recruiting, Operational Performance, Business Analytics, Business Collaboration, Business Intelligence, Business Performance, Cloud Computing, Customer & Contact Center, Financial Performance, Information Applications, Oracle, Workforce Performance, HR, Talent Management, Workforce Management
MicroStrategy Reveals New Generation of Analytics for Cloud and Mobile Computing
At its recent MicroStrategy World 2014 conference, the enterprise software company introduced a portfolio of products to make it easier to perform analytics and make them easier to access through the cloud and mobile forms of computing. These announcements accelerate MicroStrategy’s transition to approaching corporate business users of analytics from its past focus on business intelligence, which typically is purchased by IT. This is a subtle but strategic shift that recognizes where growth opportunities lie and that analytics must be available on any device at any time. MicroStrategy made it clear that advances in the cloud, mobility and big data were integral to its product releases last year and is continuing in this direction in 2014 with the products in its MicroStrategy 9.4 suite.
Topics: MicroStrategy, Mobile, Social Media, Customer Engagement, Smart Phones, Operational Performance, Analytics, Business Analytics, Business Collaboration, Business Intelligence, Business Performance, Cloud Computing, Information Applications, Location Intelligence, Operational Intelligence, Tablets
Economic Recovery Spurs Growth in Recruiting Software
One strong sign of the economic recovery as manifested in the human capital management market is the recent spate of announcements of new recruiting applications from software companies that are not always considered for recruiting. Here are some of them. Ultimate Software announced the launch of UltiPro Recruiting. Saba Recently announced the release of Recruiting@Work. Workday announced the upcoming release of Workday Recruiting. And Ceridian announced release a recruiting application on its Dayforce platform scheduled for the first quarter of this year, which I covered. These recent investments by vendors in recruiting applications, as well as others I discussed after the most recent HR Technology Conference, demonstrate the increased emphasis on recruiting to support talent and workforce management processes in human capital management (HCM).
Topics: Mobile, Social Media, HCM, Recruiting, Operational Performance, Ultimate, Business Collaboration, Collaboration, Workforce Performance, Ceridian, Saba, Workday
The Human Capital Management Technology Revolution in 2014
Human capital will continue to be an organization’s largest investment in 2014 and if productive will be one of its most valuable assets and differentiators. It also continues to rank as top priority by CEOs across the industry. We anticipate that businesses that take advantage of the innovative technology now available for human capital management (HCM) will gain a competitive advantage. Ventana Research will track these technological advances and how they are put to use by organizations that deploy them.
Topics: Sales Performance, Social Media, Supply Chain Performance, Governance, HCM, Human Capital Management, Recruiting, CHRO, Operational Performance, Business Analytics, Business Collaboration, Business Performance, Cloud Computing, Customer & Contact Center, Financial Performance, Workforce Performance, Compensation, HR, Risk & Compliance (GRC), Talent Management
The Challenge for Sales in 2014: Stepping Beyond Conventional Wisdom
It should be no surprise for those who work in sales that increasing outcomes collectively is not always easy. Sales teams and individuals work under pressure to perform at high levels, selling more than they did in the previous period or more than the person who previously had responsibility for a territory. Today’s economic and competitive environments demand that everyone work not just faster but smarter in their sales efforts. To excel in this environment requires not just wise use of time but prioritization of the activities and tasks that contribute to achieving the quota and forecast. In the past, sales organizations often resisted adopting new technology, but it’s time for them to realize that tools are available to facilitate better sales performance. As I outlined in the overview of our business and technology research agenda for this year, the sales department has a ripe opportunity to get smarter in how it operates. This is the essential point of our research practice in sales applications and technology: Our methodical benchmark research examines applications and technology best practices and benefits for sales organizations, and we assess the vendors and products in this market through our Value Index ratings. We will start 2014 with the latest release of our Value Index on Sales Performance Management, which will help sales management evaluate products to assist in improving performance of the organization.
Topics: Big Data, Sales, Sales Performance, Social Media, Operational Performance, Business Analytics, Business Collaboration, Business Performance, Cloud Computing, Customer & Contact Center, Governance, Risk & Compliance (GRC), Compensation, Sales Performance Management, SFA
Envision Takes Workforce Optimization to the Cloud
Envision has carved out a slice of the workforce optimization market by offering its suite of products as cloud-based services. In addition to core products such as interaction recording, quality assurance, workforce management, training, coaching and agent analytics, it offers speech and desktop analytics and customer feedback management through surveys and our part of my research agenda. Our last Value Index shows that this is a highly competitive market, and my benchmark research on next-generation workforce optimization reveals that various segments of the market such as call recording and quality management have high levels of penetration. I was therefore keen to understand where Envision’s latest release, Click2Coach Cloud, fits in this market.
Topics: Customer Experience, Customer Feedback Management, 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 Force Optimization
Uptivity Launches Gamification Capabilities for Workforces
I am not comfortable with the term “gamification” used in the context of business applications. It sounds as if employees are officially allowed to play games while working and thus take their attention away from the task at hand, which in a contact center is serving customers. So I was skeptical when Uptivity recently wanted to brief me about gamification capabilities it recently announced for its suite of workforce optimization products. I was doubtful that gamification will help companies in their quest to optimize performance from their contact center agents.
Topics: Social Media, Customer Analytics, Customer Experience, Customer Feedback Management, Social CRM, Speech Analytics, Voice of the Customer, Mobile Apps, Self-service, Operational Performance, Analytics, Cloud Computing, Collaboration, Customer & Contact Center, Customer Service, Call Center, Contact Center, Contact Center Analytics, CRM, Desktop Analytics, Text Analytics, Unified Communications, Workforce Force Optimization
Big Data Offers Business Opportunity for Information Optimization in 2014
Businesses are always looking for ways to grow and to streamline their operations. These two goals can come into conflict because as organizations become larger it becomes more complicated to be agile and efficient. To help them understand and modify their processes, businesses can derive insights from analytics applied to their data. Today that data is available not only in the enterprise and cloud computing environments but also from the Internet. To collect, process and analyze it all is a challenge, one that an increasing number of organizations are meeting through the use of big data technologies. The resulting insights can help them make strategic business decisions such as where to focus efforts and how to engage with customers. At Ventana Research we have been working hard to understand the advancing technology that supports big data and its value through information optimization and bring clarity to the industry through our research and analysis of trends and products. There are many opinions about big data and fixation on the attributes of it through the V’s (volume, variety and velocity) and how to use it, often biased toward one technology or vendor; our research and analysis of the entire market cuts through the noise to provide not just facts but insights on best practices and methods to apply this technology to business problems.
Topics: Big Data, Sales Performance, Social Media, Supply Chain Performance, IT Performance, Operational Performance, Business Analytics, Business Collaboration, Business Intelligence, Business Performance, CIO, Cloud Computing, Customer & Contact Center, Financial Performance, Governance, Risk & Compliance (GRC), Information Applications, Information Management, Location Intelligence, Operational Intelligence, Workforce Performance, Information Optimization
The Value Index of Workforce Management Software for 2014
Ventana Research recently released our Value Index on Workforce Management for 2014. We define workforce management as the set of processes by which organizations manage their hourly and salaried employees to maximize productivity. It involves not only tracking time worked and providing compensation for it but also aligning that work to the objectives of the organization and to the individual employee’s needs. Our Value Indexes are informed by more than a decade of analysis of how well technology suppliers and their products satisfy specific business and IT needs. For each we perform a detailed evaluation of product functionality and suitability to task in five categories as well as of the effectiveness of vendor support for the buying process and customer assurance. In this case the resulting index gauges the value offered by each vendor and its products in supporting workforce management, which is necessary for running an organization efficiently and effectively.
Topics: Sales Performance, SAP, Social Media, Human Capital Management, Kronos, Empower, Operational Performance, WFM, Analytics, Business Analytics, Business Collaboration, Business Intelligence, Business Performance, Cloud Computing, Customer & Contact Center, Mobility, Oracle, Workforce Performance, Ceridian, Infor, SumTotal Systems, Value Index, Workforce Management, Workplace
Boardwalktech Addresses Spreadsheet Woes in Business
Our benchmark research on enterprise spreadsheets explores the pitfalls that await companies that use desktop spreadsheets such as Microsoft Excel in repetitive, collaborative enterprise-wide processes. Because people are so familiar with Excel and therefore are able to quickly transform their finance or business expertise into a workable spreadsheet for modeling, analysis and reporting, desktop spreadsheets became the default choice. Individuals and organizations resist giving up their spreadsheets, so software vendors have come up with adaptations that embrace and extend their use. I’ve long advocated finding user-friendly spreadsheet alternatives.
Topics: Sales Performance, GRC, Office of Finance, Reporting, enterprise spreadsheet, Operational Performance, Analytics, Business Analytics, Business Collaboration, Business Performance, Cloud Computing, Customer & Contact Center, Financial Performance, Governance, Risk & Compliance (GRC), Information Applications, Information Management, Workforce Performance, Risk, benchmark, Financial Performance Management
Customer Engagement in 2014: Agenda for Delivering Best Customer Experience
In 2013 we continued to see change in the contact center, customer service and customer experience markets: Consumers’ communication habits continued to evolve, more business units outside the traditional contact center became involved in handling interactions, software vendors continued to come up with new technologies, and cloud computing, mobility, big data, collaboration, social media and analytics all had a big impact on the ways users access and consume software. Many of these trends surfaced in my benchmark research on next-generation workforce optimization and next-generation customer engagement. Overall my research shows that organizations are slowly maturing in terms of the people, processes, information and technology they use to support customer engagement and related customer-facing activities. However, it also shows that many of the old issues have not gone away and that companies still have work to do to meet customer expectations and achieve their business goals.
Topics: Sales Performance, Social Media, Customer Analytics, Customer Experience, Customer Feedback Management, Social CRM, Speech Analytics, Voice of the Customer, Mobile Apps, Self-service, Operational Performance, Analytics, Business Analytics, Business Collaboration, Business Performance, Cloud Computing, Collaboration, Customer & Contact Center, Customer Service, Location Intelligence, Call Center, Contact Center, Contact Center Analytics, CRM, Desktop Analytics, Text Analytics, Unified Communications, Workforce Force Optimization
IBM Bets a Billion to Mobilize Watson Business Unit and Monetize Cognitive Computing
With much fanfare and a rarely seen introduction by CEO Ginni Rometty, IBM launched IBM Watson as a new business unit focused on cognitive computing technology and solutions, now being led by Senior Vice President Mike Rhodin. The announcement is summarized here:. Until now IBM Watson was important but had neither this stature in IBM’s organizational structure nor enough investment to support what the company proclaims is the third phase of computing. As IBM tells it, computing paradigms began with the century-old tabular computing, followed by the age of programmatic computing, in which IBM developed many products and advancements. The third phase is cognitive computing, an area in which the company has invested significantly to advance its technology. IBM has been on this journey for some time, long before the IBM Watson system beat humans on Jeopardy!. Its machine-learning efforts started with the IBM 704 and computer checkers in the 1950s, followed by decades of utilizing the computing power of the IBM 360 mainframe, the IBM AS/400, the IBM RS/6000 and even IBM XT computers in the 1980s. Now IBM Watson is focused on reaching the full potential of cognitive computing.
Topics: Big Data, Sales Performance, Social Media, Supply Chain Performance, IT Performance, Operational Performance, Analytics, Business Analytics, Business Collaboration, Business Intelligence, Business Performance, CIO, Cloud Computing, Customer & Contact Center, Financial Performance, Governance, Risk & Compliance (GRC), Information Applications, Information Management, Location Intelligence, Operational Intelligence, Workforce Performance, Cognitive Computing, Discovery, Exploration, IBM Watson
Research Agendas for 2014: Optimizing the Use of Technology for Business
Greetings, everyone, and best wishes for a great start to 2014. In this new year, utilizing best practices and skills learned in 2013 will be critical for optimizing the use of efforts to support both business and IT. In 2013 many organizations made progress in balancing technology decisions across business and IT as the lines of business continued to take leading roles in investment and prioritization. Major investments were made in business applications using software as a service, business analytics and mobile computing applications. In some other areas of innovation, particularly big data and social collaboration, deployments are just beginning to happen and a significant amount of projects are in experimental and proof of concept than enterprise use.
Topics: Sales Performance, Social Media, Supply Chain Performance, Market Research, IT Performance, Operational Performance, Analytics, Business Analytics, Business Collaboration, Business Intelligence, Business Performance, CIO, Cloud Computing, Customer & Contact Center, Financial Performance, Governance, Risk & Compliance (GRC), Information Applications, Information Management, Location Intelligence, Operational Intelligence, Workforce Performance, CFO, COO, Technology
Aria Makes Billing Simple for Recurring Revenue
I have written lately about how digital customers change customer engagement. It’s no surprise that at the heart of this change, as well as many others that impact business, is the Internet. Along with smart mobile devices, the Internet has changed the ways consumers engage with each other and businesses. In buying products and services, digital customers prefer to research them on the Internet, then buy online or at a store. They expect all activities to happen fast, perhaps in real time. Online commerce has helped support this business model for many companies but has not been as nimble to meet the subscription and billing demands needed today. If not, the Internet provides ways of helping customers express their opinions and feelings often and immediately. To adapt to this business will have to be able to support new methods of selling products and services to the market and support the rapid subscription and billing needs to capture revenue potential at any time of the day.
Topics: Sales Performance, Social Media, Customer Analytics, Customer Experience, Social CRM, Self-service, Operational Performance, Analytics, Cloud Computing, Customer & Contact Center, Customer Service, Call Center,