Profile of Cindi HowsonFounder, BI Scorecard
News & Commentary Posts: 156
Cindi Howson is the founder of BI Scorecard, a resource for in-depth BI product reviews based on exclusive hands-on testing. She has been advising clients on BI tool strategies and selections for more than 20 years. She is the author of Successful Business Intelligence: Unlock the Value of BI and Big Data and SAP Business Objects BI 4.0: The Complete Reference. She is a faculty member of The Data Warehousing Institute (TDWI) and a contributing expert to InformationWeek. Before founding BI Scorecard, she was a manager at Deloitte & Touche and a BI standards leader for a Fortune 500 company. She has been quoted in The Wall Street Journal, the Irish Times, Forbes, and Business Week. She has an MBA from Rice University.
Articles by Cindi Howson
posted in November 2007
The BI platform is critical; it's what the business users see, touch, and interact with. Fail to get that right and the data warehouse is data wasteland. So yes, how BI buying will change as a result of industry consolidation is an important matter... But let's spend more time thinking about how to make BI relevant beyond power users.
This year's business intelligence mega deals have altered the complexion of strategic and tactical decisions. Successful practitioners will be unfazed by shifting vendor ownership, but dissatisfied customers are up for grabs.
And then there were none... as in, no major pure-play BI/Performance Management vendors nor BI-agnostic database vendors following IBM's announcement to acquire Cognos... IBM no doubt has eyed Microsoft's impressive growth in the data warehouse platform space. IDC estimates Microsoft's growth as a data warehouse platform at 23% for 2006/2005 versus IBM's at 12% and Oracle's at 13%. Microsoft says its BI solutions have helped drive sales of SQL Server as a data warehouse platform...
We in IT seem to use whatever term will generate the most buzz and to heck with whatever confusion ensues. "Analytics" is yet another term in which vendors use it to mean different things and we all interpret it differently. In a recent conversation with SAS executives, they kept using the term "analytics" when really what they were referring to was predictive analytics... Given that predictive analytics is one of SAS' biggest differentiators, misinterpretation is not good...