For more from James Taylor, see his presentation on Decision Modeling for Predictive Analytic Projects at Predictive Analytics World for Business, March 29-April 2, 2015 in San Francisco. One of the most important steps in a predictive analytic effort is correctly framing the problem. It is particularly important to do so in a way that establishes a shared understanding of the business problem across business, IT and analytics teams. Established analytic approaches such as CRISP-DM stress the importance of understanding the project objectives and requirements from a business perspective, but most organizations do not apply a formal approach to capture
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