May 14-18, 2017
San Francisco, CA
Delivering on the promise of data science

Agenda Overview - Prior Conference Program from February 2010.
Click here to see the current program agenda
sessions are for all levels.
sessions are expert/practitioner level.
Pre-Conference Workshops: Monday February 15, 2010
Full-day Workshop
Putting Predictive Analytics to Work
James Taylor, CEO, Decision Management Solutions
Room: California Parlor
Full-day Workshop
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
9:00am-9:50am
Keynote
Eureka! Seven Innovative Applications of Predictive Analytics
Eric Siegel, Ph.D., Conference Chair
Room: Concert Ballroom
9:50am-10:10am Platinum Sponsor Presentation
Beyond the Four Walls of your Enterprise: What your Customers Tell You
Erick Brethenoux, VP Corporate Development, SPSS
Room: Concert Ballroom
10:10am-10:30am Break / Exhibits / Book Signing
Room: Gold Ballroom
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
12:20pm-1:20pm Birds of a Feather Lunch
Room: Gold Ballroom
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 Presentation
Predictive analytics and text - what the "experts" haven't told you
Manya Mayes, Chief Text Analytics Strategist, SAS
Room: Concert Ballroom
2:30pm-2:40pm Session Break
Room: Gold Ballroom
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
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
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

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DAY 2: Wednesday February 17, 2010
8:00am-9:00am Registration & Continental Breakfast
Room: Regency Foyer
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
9:50am-10:00am Gold Sponsor Presentation
Next Generation Insight
Phil Francisco, VP, Product Management & Marketing, Netezza
Tonya Balan, Manager of Analytics Product Management, SAS
Room: Concert Ballroom
10:00am-10:30am Break / Exhibits / Book Signing
Room: Gold Ballroom
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 DNA

Better 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
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 Systems

Addressing 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
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

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Post-Conference Workshop: Thursday February 18, 2010
Full-day Workshop
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

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