Agenda Overview - Prior Conference Program from October 19-22, 2009.
Click here to see the current program agenda
sessions are for all levels.
sessions are expert/practitioner level.
DAY 1: Monday October 19, 2009
Full-day Workshop
Putting Predictive Analytics to Work
James Taylor, CEO, Decision Management Solutions
Room: Poplar
Full-day Workshop
Hands-On Predictive Analytics
Dean Abbott, President, Abbott Analytics
Room: Walnut B
DAY 2: Tuesday October 20, 2009
8:00am-9:00am Registration & Continental Breakfast
9:00am-9:50am Keynote
Five Ways to Lower Costs with Predictive Analytics

Eric Siegel, Ph.D., Conference Chair
Room: Magnolia
9:50am-10:10am
Platinum Sponsor Presentation
The Perfect Storm: The Rise of Predictive Analytics
Room: Magnolia
10:10am-10:30am Morning Coffee Break – Exhibit Hall Open from 10:10am to 7:30pm
Upper Foyer / Exhibit Hall
Track 1: Thought Leader
Room: Magnolia
Track 2: Non-profit
Room: Walnut A&B
10:30am-11:20am Case Study: Infinity Insurance & PREMIER Bankcard
Putting Predictive Analytics to Work
James Taylor, Decision Management Solutions
Case Study: National Rifle Association
How to Improve Customer Acquisition Models with Ensembles
Dean Abbott, Abbott Analytics
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 Elder, Elder Research, Inc.
Room: Magnolia
12:30pm-1:45pm Birds of a Feather Lunch
Room: Pan Am Foyer
1:45pm-2:35pm Keynote
Predictive Analytics over On-line and Social Network Data

Usama Fayyad, Ph.D., Open Insights
Former Chief Data Officer, Yahoo!
Room: Magnolia
2:35pm-2:45pm
Gold Sponsor Presentation
Leveraging Speech Analytics to Gain a Competitive Edge
Room: Magnolia
2:45pm-2:55pm Session Break
Upper Foyer / Exhibit Hall
Track 1: Incremental Modeling
(Uplift Modeling)

Room: Magnolia
Track 2: Telecommunications
Room: Walnut A&B
2:55pm-3:45pm Case Study: Target
Challenges of Incremental Sales Modeling in Direct Marketing
Andrew Pole, Target
Case Study: Sunrise Communications (Switzerland)
Cost Reduction in Bill-Insert Campaigns With Predictive Analytics
Stamatis Stefanakos, D1 Solutions AG
3:45pm-4:30pm Case Study: US Bank
Raising the Bar in Cross-Sell Marketing With Uplift Modeling
Michael Grundhoefer, US Bank
Case Study: Optus (Australian telecom)
Know Your Customers by Knowing Who They Know, and Who They Don't
Tim Manns, Optus
4:30pm-4:55pm Afternoon Coffee Break
Upper Foyer / Exhibit Hall
Track 1: Financial Services
Room: Magnolia
Track 2: Telecommunications
Room: Walnut A&B
4:55pm-5:40pm Case Study: PREMIER Bankcard
The Development of a "Good Customer Score" for Use in Customer Acquisition, Rewards, Retention and Recovery
Rex Pruitt, PREMIER Bankcard, LLC
KDDcup 2009 Competition Results: Orange Labs (France Telecom)
Churn, Baby, Churn: Fast Scoring on Large Telecom Dataset
Srivatsava Daruru, Univ. of Texas at Austin
Track 1: Financial Services
Room: Magnolia
Track 2: Text Analytics
Room: Walnut A&B
5:40pm-6:30pm Case Study: Citizens Bank
Building In-Database Predictive Scoring Model: Check Fraud Detection Case Study

Jay Zhou, Business Data Miners, LLC
Predictive Text Analytics
Seth Grimes, Alta Plana Corporation
6:30pm-7:30pm Reception Sponsored by  
Upper Foyer / Exhibit Hall
7:30pm-10:00pm Sponsored by  
useR Meeting
Room: Magnolia

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DAY 3: Wednesday October 21, 2009
8:00am-9:00am Registration & Continental Breakfast
9:00am-9:50am Keynote
Opportunities and Pitfalls:
What the World Does and Doesn't Want from Predictive Analytics

Stephen Baker, BusinessWeek - author, The Numerati
Room: Magnolia
9:50am-10:10am
Platinum Sponsor Presentation
Strength in Numbers: ACE!
Room: Magnolia
10:10am-10:30am Morning Coffee Break – Exhibit Hall Open from 10:10am to 6:00pm
Upper Foyer / Exhibit Hall
Track 1: Verticals
Room: Magnolia
Track 2: Forecasting
Room: Walnut A&B
10:30am-11:20am Case Study: Reed Elsevier
Where Do We Go from Here - So the First Model Worked. What About the Next 6?
John Mcconnell, Analytical People
Case Study: The Financial Times, The New York Times, Sprint-Nextel
Predicting Future Subscriber Levels
Michael Berry, Data Miners, Inc.
11:20am-12:10pm Case Study: Amway
Establishing a Performance-Based Culture with Predictive Analytics

Mike Kinlaw, Alticor (Amway)
Case Study: Coke
A Predictive Approach to Marketing Mix Modeling
Ram Krishnamurthy, The Coca-Cola Co. &
Anish Nanavaty, WNS Global Services, Inc
12:10pm-1:50pm Birds of a Feather Lunch
Room: Pan Am Foyer
1:50pm-2:40pm Expert Panel: Predictive Analytics and Consumer Privacy
Stephen Baker, BusinessWeek - author, The Numerati
Jules Polonetsky, Future of Privacy Forum
Mikael Hagstrõm, SAS
Room: Magnolia
2:40pm-2:45pm Session Break
Upper Foyer / Exhibit Hall
Track 1: Health Care
Room: Magnolia
Track 2: Fraud Detection
Room: Walnut A&B
2:45pm-3:35pm Case Study: Lifeline Screening
Segmented Modeling Applications in Health Care Industry
Ozgur Dogan, Merkle
Keep Winning the Eternal Fraud Battles
Antonia de Medinaceli, Elder Research, Inc.
3:35pm-3:55pm Afternoon Coffee Break
Upper Foyer / Exhibit Hall
Track 1: Insurance
Room: Magnolia
Track 2: Product Recommendations
Room: Walnut A&B
3:55pm-4:45pm Case Study: Zurich
Top 10 Ways to be Successful in Implementing Predictive Modeling in Insurance Commercial Markets

Joel Appelbaum, Zurich
Steve VanDee, Zurich
Lessons That We Learned from the Netflix Prize
Istvan Pilaszy, Gravity R&D
Track 1: Insurance
Room: Magnolia
Track 2: Education
Room: Walnut A&B
4:45pm-5:30pm Case Study: Aflac
Establishing a Customer Retention Analytics Framework
Heather Avery, Aflac
Case Study: Walden University, Kendall College, University of Liverpool
The Use of Lead Scoring Solutions in the For-Profit Education Industry
Sherry Bennett-Flatt, Laureate Higher Education Group
Chris Scandlen, Laureate Education

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DAY 4: Thursday October 22, 2009
Full-day Workshop
The Best and the Worst of Predictive Analytics:
Predictive Modeling Methods and Common Data Mining Mistakes

John F. Elder, Ph.D., CEO and Founder, Elder Research, Inc.
Room: Hickory

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©2009 Predictive Analytics World
Produced by Prediction Impact, Inc. and Rising Media, Inc.

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