Webcasts

Predictive Analytics: Optimizing Business and Reducing Costs Across Verticals
Wednesday, January 21
3:00 p.m. ET

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In this webcast, Dr. Eric Siegel will summarize the wide range of business applications of predictive analytics, illustrating how each provides business value by predicting a different type of customer behavior.  "These predictions translate directly into actionable steps for achieving increased returns by driving operational decisions.  In so doing, an enterprise can optimize their strategies based on what customers WILL do."

In tough times, attention turns away from increasing returns, and towards decreasing costs -- Dr. Siegel will focus especially on the application of predictive analytics to lowering costs without decreasing business.  Case studies will be overviewed for the more pervasive commercial applications of predictive analytics.

During the last 15 minutes or so , Dr. Siegel will be interviewed by Mary Grace Crissey from SAS, about the upcoming, first Predictive Analytics World Conference to be held Feb. 18-19 in San Francisco, CA.  Audience participation is encouraged as we look into the new year for many opportunities where analytics -- especially data mining and predictive analytics -- will impact the way we conduct our business affairs.  Viewers will get a sneak peak at the keynote speakers and the program agenda.  This is sure to inspire and motivate those just beginning to explore the many potential applications for analytics.

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Speaker Information

Dr. Eric Siegel is the Conference Chair for Predictive Analytics World, the business-focused event for predictive analytics professionals, February 18-19 in San Francisco, CA. He 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 the online version, Predictive Analytics Applied. He has published 13 papers in data mining research and computer science education, has served on 10 conference program committees, and has cochaired an Association for the Advancement of Artificial Intelligence Symposium held at MIT.

About Mary Grace Crissey, SAS

Mary Grace Crissey is the Marketing Manager for SAS Analytics. Crissey holds an MS in Management Sciences from the University of Maryland, College Park and gained 20 years of mathematical modeling expertise as an active duty military officer. Currently she holds leadership appointments with several professional societies including Knowledge Discovery and Data Mining (ACM/KDD) and the Institute for Operations Research and the Management Sciences (INFORMS).

SAS Analytics can be applied to a vast range of business challenges across many industries and departments. To learn more about what you can achieve with SAS Analytics, explore the SAS Analytics Info Kit.