Business intelligence (BI) software has become widely used – even to the point of being pervasive in many organizations. But for the most part, predictive analytics tools are still used by only the most sophisticated data-driven enterprises.

In addition, whereas IT groups typically develop BI dashboards and reports for business users, predictive analytics models usually are created by a handful of highly skilled end users. It can be an eye-opening experience for IT workers to realize that the people who build predictive models are more data-savvy and technically oriented than they are. In fact, predictive model builders often view the IT staff merely as data gatherers whose purpose is to feed their data-hungry models.

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