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This article is part of the Issue 9, September 2012 issue of What predictive analytics pros don't do
The widespread adoption of predictive analytics has been at the mercy of two opposing forces over the past two decades. Frequent, compelling use cases from the few organizations that have properly implemented predictive analytics projects propelled the discipline into the mainstream. Yet its perceived complexity has slowed adoption. Let’s take a look at five critical things business intelligence (BI) and analytics professionals often overlook, hence depriving their organizations of the substantial benefits of predictive analytics. 1. Getting started the right way. Predictive analytics is not another flash-in-the-pan technology. Most Fortune 500 companies have established departments and practices that refine crude data into highoctane intelligence. But few beyond the largest corporations have formalized or even organized their approaches. Why haven’t more jumped into the game? There many barriers and excuses, most notably: Corporate executives don’t believe predictive analytics can deliver net gains; Department heads who would have a stake in a project... Access >>>
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Top five things business intelligence and analytics pros overlook
by Eric King
When projects fail to deliver the expected results, the culprit is often inadequate preparation. Program managers and data analysts need to first understand what it is they are getting into.
- Top five things business intelligence and analytics pros overlook by Eric King
Business intelligence manager bears burden as myths curb BI success
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A variety of wrong notions are holding back business intelligence efforts in companies, putting the onus on BI teams to puncture the misconceptions.
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Why execs should heed need for data governance
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In this information-driven age, analyzing data is more important than ever, but ensuring that it can be trusted should come first.
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