Day 1: Wednesday February 18, 2009 | ||
8:00am-9:00am | Registration & Continental Breakfast Nikko Ballroom Foyer |
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9:00am-9:50am | Keynote Five Ways to Lower Costs with Predictive Analytics Eric Siegel, Ph.D., Conference Chair Nikko II |
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9:50am-10:10am | Platinum Sponsor Presentation: SAS Analytics: The Art and Science of Better Anne Milley, SAS Nikko II |
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10:10am-10:30am | Morning Coffee Break – Exhibit Hall Open from 10:10am to 7:30pm Nikko Ballroom Foyer |
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Track 1: Thought Leaders Nikko II |
Track 2: Verticals Nikko I |
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10:30am-11:20am | From Analytics to Competing on Decisions James Taylor, Decision Management Solutions |
Case Study: MetLife Auto & Home(r) Identifying Fraud with Predictive Analytics Kathy Konkel, SPSS & David McMichael, Ph.D., MetLife Auto & Home |
11:20am-12:30pm | 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. Nikko II |
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12:30pm-1:45pm | Birds of a Feather Lunch Nikko I |
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1:45pm-2:35pm | Keynote New Challenges in Predictive Analytics: Social Networking, Direct-Response Marketing, and Understanding Customer Behavior Usama Fayyad, Ph.D., Open Insights Nikko II |
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2:35pm-2:45pm | Gold Sponsor Presentation: SAP Delivering Intelligence in Busines Intelligence – The I in BI John MacGregor, SAP Nikko II |
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2:45pm-2:55pm | Session Break – Exhibit Hall Nikko Ballroom Foyer |
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Track 1: Product recommendations and the Netflix Prize Nikko II |
Track 2: Verticals Nikko I |
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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 |
Consumer Services (Online) Case Study: TaxBrain Completing the Visitor Targeting Cycle: Predictive Behavioral Targeting and Audience Maps Thomas Rose-Bolden, TaxBrain & Joshua Koran, ValueClick |
4:30pm-4:55pm | Afternoon Coffee Break – Exhibit Hall Nikko Ballroom Foyer |
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Track 1: Product recommendations and the Netflix Prize Nikko II |
Track 2: Verticals Nikko I |
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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 Nikko II |
Track 2: Verticals Nikko I |
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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 Sponsored by SAS Nikko Ballroom Foyer |
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7:30pm-9:00pm | pRediction – A quick survey of prediction methods in R by the use R Group of San Francisco Bay Area Click here for more details about the meeting Nikko II |
Day 2: Thursday February 19, 2009 | ||
8:00am-9:00am | Registration & Continental Breakfast Nikko Ballroom Foyer |
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Track 1: Financial Services and Insurance Nikko II |
Track 2: Scoring Sales Leads Nikko I |
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9:00am-9:50am | Case Study: Wells Fargo Internet Services Group New Challenges for Developing Predictive Analytics Solutions Khosrow Hassibi, Ph.D., KXEN & William Tangalos, Wells Fargo |
Case Study: Sun Microsystems Marrying Prediction and Segmentation to Drive Sales Leads Jim Porzak, The Generations Network & 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: Bella Pictures Scoring Leads from Salesforce.com Data Traci Chu, Bella Pictures & John Wallace, Business Researchers |
10:40am-11:00am | Morning Coffee Break – Exhibit Hall Open from 10:40am to 4:15pm Nikko Ballroom Foyer |
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11:00am-11:50am | Keynote The Unrealized Predictive Power of Data Andreas S. Weigend, Ph.D., Former Amazon.com Chief Scientist Nikko II |
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11:50am-12:00pm | Gold Sponsor Presentation: WNS Leveraging Global Analytical Resources in a Challenging Economic Environment Jay Venkateswaran, WNS Nikko II |
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12:00pm-1:25pm | Birds of a Feather Lunch Nikko I |
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1:25pm-2:25pm | Expert Panel Session Cross-Industry Challenges and Solutions in Predictive Analytics Dean Abbott, Abbott Analytics Vijay Desai, Ph.D., SAS Richard G. Vlasimsky, Valen Technologies Nikko II |
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2:25pm-2:40pm | Session Break – Exhibit Hall Nikko Ballroom Foyer |
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Track 1: Financial Services and Insurance Nikko II |
Track 2: Online Applications Nikko I |
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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 Nikko Ballroom Foyer |
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Track 1: Financial Services and Telecom Uplift Modeling Nikko II |
Track 2: Online Applications Nikko I |
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3:35pm-4:15pm | Case Study: Telenor Applying Next Generation Uplift Modeling to Optimize Customer Retention Programs 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, CEO, Decision Management Solutions Time: 9.00am – 4.30pm Click here for more details |