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Predictive analytics projects are not successful inherently and automatically. They must deliver real business impact and mitigate the risks that are part of any complex project. Understanding the role of predictive analytics as part of decision support is an essential first step. That first step, however, needs to be followed with an incremental methodology that builds toward success while minimizing risk. In this course you’ll become familiar with a six-phase development methodology for analytics projects that is specifically oriented to high value and limited risk. Practical implementation of the methodology is illustrated through a series of case studies. Attendees will receive a step-by-step guide to the practical implementation of predictive analytics projects and the roles of analytic project team members.