| Pre-Conference Workshops: Monday February 15, 2010 | |
 Putting Predictive Analytics to Work James Taylor, CEO, Decision Management Solutions Room: California Parlor |
 Hands-On Predictive Analytics Dean Abbott, President, Abbott Analytics Room: SAS Training Center, 120 Kearny St. (between Post & Sutter), Suite 3400 |
| DAY 1: Tuesday February 16, 2010 | ||
| 8:00am-9:00am | Registration & Continental Breakfast Room: Regency Foyer |
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| 9:00am-9:50am |
Keynote Eureka! Seven Innovative Applications of Predictive Analytics Eric Siegel, Ph.D., Conference Chair Room: Concert Ballroom |
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| 9:50am-10:10am |
Platinum Sponsor PresentationBeyond the Four Walls of your Enterprise: What your Customers Tell You Erick Brethenoux, VP Corporate Development, SPSS Room: Concert Ballroom |
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| 10:10am-10:30am | Break / Exhibits / Book Signing Room: Gold Ballroom |
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| Track 1: Thought Leader | Track 2: Lifetime Value | |
| 10:30am-11:20am |
Case Study: IBM Analytic Journeys James Taylor, Decision Management Solutions Room: Concert Ballroom |
Case Study: Group RCI Membership Value Modeling with Soft Revenues and Uncertain Cost Michael Towns, Group RCI Room: Rose Ballroom |
| 11:20am-12:20pm |
Multiple Case Studies: U.S. DoD, U.S. DHS, SSA Text Mining: Lessons Learned John Elder, Ph.D., Elder Research, Inc. Room: Concert Ballroom |
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| 12:20pm-1:20pm | Birds of a Feather Lunch Room: Gold Ballroom |
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| 1:20pm-2:10pm |
Keynote Predictive Power Part II: Advanced Analytics in the New Data Economy Andreas S. Weigend, Ph.D., Former Chief Scientist, Amazon.com Room: Concert Ballroom | |
| 2:10pm-2:30pm |
Platinum Sponsor PresentationPredictive analytics and text - what the "experts" haven't told you Manya Mayes, Chief Text Analytics Strategist, SAS Room: Concert Ballroom |
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| 2:30pm-2:40pm | Session Break Room: Gold Ballroom |
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| Track 1: Social Data | Track 2: Text Analytics; Call Centers | |
| 2:40pm-3:30pm | Case Study: 1-800 Flowers Leveraging Social Media Data to Manage Fraud Risk Auren Hoffman, Rapleaf Room: Concert Ballroom |
Case Study: A Fortune 500 global technology company Rules Rule: Inductive Business-Rule Discovery in Text Mining Dean Abbott, Abbott Analytics Room: Rose Ballroom |
| Track 1: Social Data | Track 2: Call Centers & Customer Service | |
| 3:30pm-4:20pm | Case Study: A Leading North American Telecom The Social Effect: Predicting Telecom Customer Churn with Call Data Michael Driscoll, Dataspora LLC Room: Concert Ballroom |
Case Study: Canadian Automobile Association Optimizing Customer Service levels through Predictive Analytics Richard Boire, BoireFillerGroup Room: Rose Ballroom |
| 4:20pm-4:50pm | Break / Exhibits Room: Gold Ballroom |
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| Track 1: Innovative Applications | Track 2: Call Centers & Customer Service | |
| 4:50pm-5:40pm | Case Study: Younoodle The Mathematics of Innovation: Predicting Startup Success Sean Gourley, Younoodle Room: Concert Ballroom |
Case Study: BBC Identifying and Helping the Most Vulnerable John McConnell, Analytical People Room: Rose Ballroom |
| Track 1: Innovative Applications | Track 2: Market Mix Modeling | |
| 5:40pm-6:30pm | Case Study: Visa Building 10,000 Predictive Models: Scaling Health & Status Models to Large, Complex Systems Robert Grossman, Open Data Group & Joe Bugajski, Burton Group Room: Concert Ballroom |
Case Study: Walmart Financial Services Market Mix Modeling in Retail Financial Services Randall Anzalone, Walmart Financial Services & Dhiraj Rajaram, Founder and CEO of Mu Sigma Room: Rose Ballroom |
| 6:30pm-7:30pm | Reception sponsored by  Room: Gold Ballroom |
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| 7:30pm-10:00pm | useR Meeting, featuring analytics pioneer John Chambers Room: Concert Ballroom |
Bay Area SAS Users Group Meeting, featuring Tonya Etchison Balan, Manager, Analytics Product Management, SAS Institute Room: Rose Ballroom |
| DAY 2: Wednesday February 17, 2010 | ||
| 8:00am-9:00am | Registration & Continental Breakfast Room: Regency Foyer |
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| 9:00am-9:50am |
Keynote Response Modeling is the Wrong Modeling: Maximize Impact With Net Lift Modeling Kim Larsen, Charles Schwab & Co Room: Concert Ballroom |
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| 9:50am-10:00am |
Gold Sponsor PresentationNext Generation Insight Phil Francisco, VP, Product Management & Marketing, Netezza Tonya Balan, Manager of Analytics Product Management, SAS Room: Concert Ballroom |
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| 10:00am-10:30am | Break / Exhibits / Book Signing Room: Gold Ballroom |
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| Track 1: Predictive Analytics Labs | Track 2: Predictive Analytics Labs | |
| 10:30am-11:20am |
Lab Session: Sponsored by SAS Text Analytics Lab: Case Study Successful application of text analytics to real world business issues Manya Mayes, SAS Fiona McNeill, SAS Room: Concert Ballroom |
Lab Session: Sponsored by Vortex DNABetter Debt Pricing and Recovery Branton Kenton-Dau, VortexDNA Paul Hilton, Receivables Management Ltd. Room: Rose Ballroom |
| Track 1: Thought Leader | Track 2: Innovative Applications | |
| 11:20am-12:10pm | In-database Vs. In-cloud Analytics: Implications for Deployment Neil Raden, Hired Brains Room: Concert Ballroom |
Case Study: Continental Airlines and PASSUR Aerospace Predicting the Health of Air Traffic Systems Tim Grovac, PASSUR Aerospace Room: Rose Ballroom |
| 12:10pm-1:20pm | Birds of a Feather Lunch Room: Gold Ballroom |
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| Track 1: Predictive Analytics Labs | Track 2: Predictive Analytics Labs | |
| 1:20pm-2:10pm |
Lab Session: Sponsored by SPSS Publishing Profitably with Predictive Analytics Special Predictive Analytics World lab session featuring Analytical People and SPSS, an IBM Company Tim Daciuk, SPSS John McConnell, Analytical People Room: Concert Ballroom |
Lab Session: Sponsored by Salford SystemsAddressing Analytics Challenges in the Retail and Insurance Industries Mikhail Golovnya, Salford Systems Noe Tuason, ICSAA Greg Makowski, Wells Fargo Room: Rose Ballroom |
| Track 1: Cross-Sell & Recommendations | Track 2: Innovative Applications | |
| 2:10pm-3:00pm | Case Study: PayPal (eBay) Next Best Product Model: How to optimize on probability as well as profitability Piyanka Jain, Paypal Room: Concert Ballroom |
Case Studies: U.S. Army, and a large commercial satellite company Reliability Analytics: Predicting Equipment Failure Matthew Strampe, Elder Research, Inc. Room: Rose Ballroom |
| 3:00pm-3:30pm | Break / Exhibits Room: Gold Ballroom |
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| Track 1: Cross-Sell & Recommendations | Track 2: Analytical Methods | |
| 3:30pm-4:20pm | Case Study: AT&T Market Simulation in the Telecommunications Sector John Colias, Decision Analyst & Basile Goungetas, Ph.D., AT&T Room: Concert Ballroom |
Case Study: Deutsche
Postbank Model Retrospection - Boosting Your Learning Curve Franz Hofner, Dt. Postbank AG Room: Rose Ballroom |
| 4:20pm-5:10pm | Case Study: Sun Microsystems Time-Purchasing Analytics and Next-Logical Predictions: Lessons from the High-Tech B2B World Peter Jaumann, Sun Microsystems Room: Concert Ballroom |
Case Study: Google Massively Parallel Learning of Tree Ensembles to Predict Ad Quality Sugato Basu, Google Room: Rose Ballroom |
| Post-Conference Workshop: Thursday February 18, 2010 |
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The Best and the Worst of Predictive Analytics: Predictive Modeling Methods and Common Data Mining Mistakes John Elder, Ph.D., CEO and Founder, Elder Research, Inc. Room: California Parlor |
