RESEARCH & RESOURCES

TDWI Hot Topic // Making Predictive Analytics Workable

April 8, 2013

Industry experts have no doubt: predictive analytics holds tremendous benefits, but it’s really, really hard work.

You can quantify its difficulty using any of several metrics—algorithmic complexity; the worldwide dearth of skilled data scientists; or the insufficiency of existing IT infrastructure, particularly for preparing and transforming data.

The inconvenient truth remains: predictive analytics is hard. “There are so many tests to detect traps you might fall into, and none of them is built into the tools because they are dependent on the data,” says industry veteran Mark Madsen, a principal with consultancy Third Nature Inc. He says that predictive or advanced analytics is so difficult that “a layman such as myself shouldn’t be allowed anywhere near most analytic software."

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