Predictive analytics can help narrow the chasm between data analytics professionals and the business people who benefit from their activities.

“Nanoeconomics” may sound like a college course that one may expunge from their minds as soon as they wrap up their final exam the last day of the semester, but it’s a force that may supercharge the insights data and technology professionals are delivering to their business decision-makers. At its heart, data analytics is an economic activity, expected to add some incremental value to corporate revenues.

But there’s been a yawning chasm between the activities of data analytics professionals and the businesspeople who are supposed to see the benefits of those activities. Namely, analytics insights are typically based on statistical averages, versus directly focusing on the problems at hand.

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