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Eric King Published: 20 Nov 2012
What predictive analytics pros don't do

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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