Driving Decisions with Predictive Analytics: The Top Seven Business Applications
ABOUT THIS SESSION:
The value proposition is straight-forward and proven: Predictive analytics produces business rules that deliver. The customer predictions generated by predictive analytics’ business rules 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. This workshop will guide you in making these choices, and cover a healthy dose of the core technology along the way – in a “user-friendly” manner that makes the concepts intuitive, illustrating with detailed case studies. What you will learn:
- How predictive analytics automatically derives rules for decision automation by learning from experience
- The top seven business applications of analytically optimized rules
- What business rules produced by predictive analytics look like and how they work
ABOUT THE SPEAKER(s):
Eric Siegel, conference chair of Predictive Analytics World and president of Prediction Impact, Inc., 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 chaired a AAAI Symposium held at MIT.
