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CIO Talk Network Podcast


Aug 13, 2014

Predictive Analytics has been used for some time in exploiting patterns among data, and Big Data has now removed the limits on what can be analyzed. But there’s a difference between prediction and persuasion. If Predictive Analytics can’t lead to something actionable on a business level, what good are they? So how can we define what makes Predictive Analytics effective, persuasive to business leaders and capable of helping the business achieve a positive ROI?

Guest 1: Eric Siegel, Founder, Author, “Predictive Analytics: The Power to Predict Who Will Click, Buy, Lie, or Die”, Predictive Analytics World

Guest Bio: https://www.ciotalknetwork.com/contributor/eric-siegel/

Guest 2: Jack Levis, Senior Director of Process Management, UPS

Guest Bio: https://www.ciotalknetwork.com/contributor/jack-levis/

More on this Episode: https://www.ciotalknetwork.com/how-to-make-predictive-analytics-effective/

More on Big Data: https://www.ciotalknetwork.com/topics/big-data/

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