Analyst Perspectives

I’m wondering whether the rapid rise in earnings restatements by “accelerated filers” (companies that file their financial statements with the U.S. Securities and Exchange Commission that have a public float greater than $75 million) over the past three years is a significant trend or an interesting blip. According to a research firm, Audit Analytics, that number has grown from 153 restatements in 2009 to 245 in 2012, a 60 percent increase. What makes it a blip is that the total is still less...

SAS Institute held its 24^th annual analyst summit last week in Steamboat Springs, Colorado. The 37-year-old privately held company is a key player in big data analytics, and company executives showed off their latest developments and product roadmaps. In particular, LASR Analytical Server and Visual Analytics 6.2, which is due to be released this summer, are critical to SAS’ ability to secure and expand its role as a preeminent analytics vendor in the big data era.

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

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

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

Ventana Research recently completed an in-depth benchmark research project on long-range planning. As part of the research we had discussions with CFOs and those involved in financial planning and analysis about their company’s strategic and long-range planning processes, which pointed to the need for clarity in using the terms “strategic planning” and “long-range planning.”

Platfora has gained a lot of buzz in the Big Data analytics market primarily through word of mouth. Late last year the company took the covers off of some impressive and potentially disruptive technology that takes aim at the broad BI and business analytics ecosystem, including the very foundation on which the industry is built. It recently demonstrated its software at the Strata Conference where the audience that is fixated on big data was in attendance.

I was discussing the United States Securities and Exchange Commission’s (SEC) eXtensible Business Reporting Language (XBRL) mandate with a former head of investor relations at a Fortune 100 company. His take on it is much the same as that of everyone else involved with corporate reporting: it doesn’t produce much value and costs a bundle to comply. I related to him my thoughts on the lack of progress I saw in making the XBRL mandate more useful to corporations and investors alike. Making XBRL...

Our recent benchmark research project, Spreadsheet Use in Today’s Enterprise, demonstrated that some companies have made modest progress in addressing spreadsheet issues, but there’s still much left to be done. Desktop spreadsheets can be an important source of productivity but, as I’ve noted, you need to understand their limitations and understand the practical alternatives. Users underestimate the impact of spreadsheet problems on their productivity because they tend to overlook the myriad...

The challenge with discussing big data analytics is in cutting through the ambiguity that surrounds the term. People often focus on the 3 Vs of big data – volume, variety and velocity – which provides a good lens for big data technology, but only gets us part of the way to understanding big data analytics, and provides even less guidance on how to take advantage of big data analytics to unlock business value.