Predictive Analytics: A Statistical Primer for Data Management Professionals

Predictive Analytics is complementary to familiar descriptive analytics (OLAP) providing the business with not just a postmortem of what has happened, but a reliable prediction of what will happen. Predictive Analytics use statistical methods to build powerful forecasting models whose value is dramatic.

This presentation will introduce the concept of Predictive Analytics, illustrate the value with some industry examples, and demonstrate statistical techniques such as multivariable regression and principal component analysis that are central to the science of forecasting. The presentation will point out some common pitfalls and advice on getting started with PA.

Dr. Robert P. Conway is the founder and Principal Consultant of Information Engineering Associates, a Colorado-based consulting firm focused on training and development of data management best practices. His twenty-five year consulting experience spans diverse industries including, Oil & Gas, Financial Services, Manufacturing, Retail, Automotive, Telecommunications, Health Care, Federal and Municipal Government. Bob has implemented successful data warehouses for numerous clients from small start-ups to Fortune 500 firms. As an adjunct faculty member Bob has taught graduate level Information Management at two major universities. Bob is a frequent speaker at local and national conferences. He brings his rich business and technical experience into the classroom with real world examples. His presentation is informative and entertaining.