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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