The value proposition is straight-forward and proven: Predictive analytics produces business insight that delivers. The customer predictions generated by predictive analytics deliver more relevant content to each customer, improving response rates, click rates, buying behavior, retention and overall profit.
Harnessing value with predictive analytics depends on some careful choices: What kind of customer behavior you predict and which operational decisions you automate with it. In making these choices, you position precisely how this technology is applied.
Dr. Siegel will be joined by Anne Milley from SAS in a discussion of the top business applications of predictive analytics. Audience members will learn:
- How predictive analytics automatically derives models for decision automation by learning from experience
- The top business applications of analytical prediction
About Eric Siegel, Ph.D., Conference Chair, Predictive Analytics World
Dr. Eric Siegel is the Conference Chair for Predictive Analytics World, the business-focused event for predictive analytics professionals, October 20 and 21 in Washington, DC. 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.
As senior director of SAS’ technology product marketing in worldwide marketing, Anne Milley oversees the marketing of SAS technologies. Her ties to SAS began with her thesis on bank failure prediction models and the term structure of interest rates. She completed this at The Federal Home Loan Bank of Dallas and became a manager in the credit group. She continued her use of SAS at 7-Eleven, Inc. as a senior business consultant performing sales analysis and designing and conducting tests to aid in strategic decision-making, e.g., price sensitivity studies, advertising and promotion analysis.
Milley has authored various papers, articles and an award-winning report for the 1999 KDD Contest. She co-chaired the SAS Data Mining Technology Conferences, M2001 and M2002 as well as SAS’ inaugural forecasting conference, F2006. She has served on web mining committees for KDD and SIAM and on the Scientific Advisory Committee for Data Mining 2002. In 2008 she completed a five-month working sabbatical at a major financial services company in the United Kingdom.
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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. |
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