Machine Learning Times
Machine Learning Times
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9 years ago
Effective Framing of Predictive Analytic Projects

 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

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