Analyst Perspectives

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

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

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

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

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

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

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

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

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

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