Business Intelligence SIG: Five Ways to Lower Costs with Predictive Analytics
Note: Location change for this month.
SAP Building 23412 Hillview AvenueBaltic and Caribbean RoomTITLE:
Five Ways to Lower Costs with Predictive Analytics
Eric Siegel, Ph.D., President, Prediction Impact, Inc. and Conference Chair, Predictive Analytics World
Question: How does predictive analytics actively deliver increased returns? Answer: By driving operational decisions with predictive scores – one score assigned to each customer. In this way, an enterprise optimizes on what customers WILL do. But, in tough times, our attention turns away from increasing returns, and towards decreasing costs. On top of boosting us up the hill, can predictive analytics pull us out of a hole? Heck, yes. Marketing more optimally means you can market less. Filtering high risk prospects means you will spend less. And, by retaining customers more efficiently, well, a customer saved is a customer earned – and one you need not acquire. In this talk, Eric will demonstrate five ways predictive analytics can lower costs without decreasing business, thus transforming your enterprise into a Lean, Mean Analytical Machine.
BIO:The conference chair of Predictive Analytics World and president of Prediction Impact, Inc., Eric Siegel, Ph.D. is an expert in predictive analytics and data mining and a former computer science professor at Columbia University, where he won awards for teaching, including graduate-level courses in machine learning and intelligent systems - the academic terms for predictive analytics. After Columbia, Dr. Siegel co-founded two software companies for customer profiling and data mining, and then started Prediction Impact in 2003, providing predictive analytics services and training to mid-tier through Fortune 100 companies. Dr. Siegel is the instructor of the acclaimed training program, Predictive Analytics for Business, Marketing and Web, and has published 13 papers in data mining research and computer science education.
For more information: visit: www.sdforum.org/BISIG