Big Data

How to Make Predictive Analytics Effective

How to Make Predictive Analytics Effective

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?

Contributors

    • Eric Siegel, Founder, Author, “Predictive Analytics: The Power to Predict Who Will Click, Buy, Lie, or Die”, Predictive Analytics World
    • Jack Levis, Senior Director of Process Management, UPS

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Contributors

Eric Siegel

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

Eric Siegel, Ph.D., founder of Predictive Analytics World and Text Analytics World, and Executive Editor of the Predictive Analytics Times, makes the how and why of predictive analytics understandable and captivating. He is the author of th... More   View all posts
Jack Levis

Jack Levis, Senior Director of Process Management, UPS

Jack Levis, Senior Director of Process Management, drives the development of operational technology solutions. These solutions require advanced analytics to reengineer current processes to streamline the business and maximize productivity.... More   View all posts
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Eric Siegel

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