| Day 1: Wednesday February 18, 2009 | ||
| 8:00am-9:00am | Registration & Breakfast | |
| 9:00am-9:50am | Keynote Five Ways to Lower Costs with Predictive Analytics Eric Siegel, Ph.D., Conference Chair |
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| 9:50am-10:10am | Platinum Sponsor Presentation: TBA | |
| 10:10am-10:30am | Morning Coffee Break – Exhibit Hall Open from 10:10am to 7:30pm | |
| Track 1: Thought Leaders | Track 2: Verticals | |
| 10:30am-11:20am | From Analytics to Competing on Decisions James Taylor, Smart (enough) Systems |
Entertainment Case Study: Linden Lab (Second Life) Customer Retention: Finding and Keeping Residents at Risk on Second Life Mark Klein, PhD., & Bill Vorias, Loyalty Builders & Everett Harper, Linden Lab (Second Life) |
| 11:20am-12:25pm | Multiple Case Studies: Anheuser-Busch, Disney, HP, HSBC, Pfizer, and others The High ROI of Data Mining for Innovative Organizations John F. Elder, Ph.D., Elder Research, Inc. |
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| 12:30pm-1:35pm | Birds of a Feather Lunch | |
| 1:35pm-2:25pm | Keynote New Challenges in Predictive Analytics: Social Networking, Direct-Response Marketing, and Understanding Customer Behavior Usama Fayyad, Ph.D., Yahoo! Inc. |
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| 2:25pm-2:45pm | Sponsor Presentation: TBA | |
| 2:45pm-2:55pm | Afternoon Coffee Break – Exhibit Hall | |
| Track 1: Product recommendations and the Netflix Prize | Track 2: Verticals | |
| 2:55pm-3:45pm | Case Study: Netflix Prize (leading competitor) Advanced Approaches for Recommender Systems and the Netflix Prize Andreas Töscher, Commendo Research and Consulting, GmbH |
Healthcare Case Study: San Diego Supercomputer Center High Performance Scoring of Healthcare Data Natasha Balac, Ph.D., San Diego Supercomputer Center & Michael Zeller, Ph.D., Zementis |
| 3:45pm-4:30pm | Visualization and the Netflix Prize Todd Holloway, Ingenuity Systems |
B-2-B Case Study: 3M Predictive Analytics at 3M Sean Larson, 3M |
| 4:30pm-4:55pm | Afternoon Coffee Break – Exhibit Hall | |
| Track 1: Product recommendations and the Netflix Prize | Track 2: Verticals | |
| 4:55pm-5:40pm | It's the Data, Stupid! Anand Rajaraman, Ph.D., Kosmix |
Non-Profit Case Study: National Rifle Association How to Improve Customer Acquisition Models with Ensembles Dean Abbott, Abbott Analytics |
| Track 1: Thought Leaders | Track 2: Verticals | |
| 5:40pm-6:30pm | Marketing Operations: The Engine Behind Predictive Analytics Gary Katz, Marketing Operations Partners |
Publishing Case Study: Reed Elsevier Profitably increasing retention – and convincing the business that you are John McConnell, Analytical People |
| 6:30pm-7:30pm | Reception | |
| Day 2: Thursday February 19, 2009 | ||
| 8:00am-9:00am | Registration & Breakfast | |
| Track 1: Financial Services and Insurance | Track 2: High Technology | |
| 9:00am-9:50am | Case Study: Wells Fargo Internet Services Group New Challenges for Developing Predictive Analytics Solutions Khosrow Hassibi, Ph.D., KXEN & Mike Anzenberger, Wells Fargo |
Case Study: Sun Microsystems Session title TBA Jim Porzak & Alex Kriney, Sun Microsystems |
| 9:50am-10:40am | Case Study: Wells Fargo Card Services Customer Marketing – Predictive Modeling & Today's Growing Data Challenges Matt Kramer, Acxiom & Jun Zhong, Wells Fargo |
Case Study: Affiliated Computer Services (ACS) Using Speech Analytics to Improve the Customer Experience Eric Zankman, UTOPY |
| 10:40am-11:00am | Morning Coffee Break – Exhibit Hall Open from 10:40am to 4:15pm | |
| 11:00am-11:50am | Keynote The Unrealized Predictive Power of Data Andreas S. Weigend, Ph.D., Former Amazon.com Chief Scientist |
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| 11:50am-12:10pm | Sponsor Presentation: TBA | |
| 12:10pm-1:25pm | Birds of a Feather Lunch | |
| 1:25pm-2:15pm | Expert Panel Session | |
| 2:15pm-2:25pm | Gold Sponsor Presentation: TBA | |
| 2:25pm-2:40pm | Afternoon Coffee Break – Exhibit Hall | |
| Track 1: Financial Services and Insurance | Track 2: Online Applications | |
| 2:40pm-3:20pm | Case Study: Pinnacol Assurance A Day in the Life: Predictive Analytics in the Insurance Industry Richard G. Vlasimsky, Valen Technologies |
Case Study Predictive Modeling for Email Marketing Arthur Hughes & Anna Lu, e-Dialog.com |
| 3:20pm-3:35pm | Afternoon Coffee Break – Exhibit Hall | |
| Track 1: Financial Services and Telecom Uplift Modeling |
Track 2: Online Applications | |
| 3:35pm-4:15pm | Case Study: Telenor Session Title: TBA Patrick Surry, Ph.D., Portrait Software |
Case Study: Google Predicting the Quality of Advertisements on AdWords Sugato Basu, Ph.D., Google |
| 4:15pm-5:05pm | Case Study: Charles Schwab & Co Maximize Marketing Impact with Net Lift Models Kim Larsen, Charles Schwab & Co |
Case Study: Click Forensics Predictive Scores to Optimize Pay-Per-Click Campaigns Vincent Granville, Click Forensics |
| Wrap up / Conference ends | ||
| Day 3: Friday February 20, 2009 | |
The Best and the Worst of Predictive Analytics: Predictive Modeling Methods and Common Data Mining Mistakes Instructor: John F. Elder, Ph.D., CEO and Founder, Elder Research, Inc. Time: 9.00am – 4.30pm Click here for more details |
Taking Action with Analytics: The Decision-Centric Enterprise Instructor: James Taylor, Co-Founder, Smart (enough) Systems Time: 9.00am – 4.30pm Click here for more details |
