DAY 1: Monday November 15, 2010
All conference sessions take place in Edward 5-7
8:00am-9:00am Registration, Coffee and Danish
Room: Albert Suites
9:00am-9:50am
Keynote
Five Ways Predictive Analytics Cuts Enterprise Risk
Eric Siegel, Ph.D., Program Chair, Predictive Analytics World
9:50am-10:10am IBMPlatinum Sponsor Presentation
The Analytical Revolution
Colin Shearer, WW Industry Solutions Leader,
IBM UK Ltd
10:10am-10:20am DeloitteGold Sponsor Presentation
How Predictive Analytics is Driving Business Value
Richard Fayers - Senior Manager, Deloitte Analytical Insight
10:20am-10:45am Break / Exhibits
Room: Albert Suites
  Healthcare
10:45am-11:35am Case Study: Life Line Screening
Taking CRM Global Through Predictive Analytics
Ozgur Dogan, Merkle Inc.
Trish Mathe, Life Line Screening
  Open Source Analytics; Healthcare
11:35am-12:25pm Case Study: A large health care organization
The Rise of Open Source Analytics: Lowering Costs While Improving Patient Care
Jos van Dongen, DeltIQ Group
12:25pm-1:25pm Lunch / Exhibits
Room: Albert Suites
  Thought Leader
1:25pm-2:15pm
Keynote
Case Study: Yahoo! and other large on-line e-businesses

Search Marketing and Predictive Analytics: SEM, SEO and On-line Marketing Case Studies
Usama Fayyad, Ph.D., CEO, Open Insights
2:15pm-2:35pm SASPlatinum Sponsor Presentation
Creating a Model Factory Using in-Database Analytics
John Spooner, Analytics Specialist, SAS (UK)
2:35pm-2:45pm Session Break
Room: Albert Suites
  Retail
2:45pm-3:35pm Case Study: SABMiller
Predictive Analytics & Global Marketing Strategy
Anne Stephens, SABMiller plc
Titir Pal, AbsolutData
3:35pm-4:25pm Case Study: Overtoom Belgium
Increasing Marketing Relevance
Through Personalized Targeting

Dr. Geert Verstraeten, Python Predictions
4:25pm-4:50pm Break / Exhibits
Room: Albert Suites
  Uplift Modelling:
4:50pm-5:40pm Case Study: Lloyds TSB General Insurance & US Bank
Uplift Modelling: You Should Not Only Measure
But Model Incremental Response

Nicholas Radcliffe, Stochastic Solutions
  Consumer services
5:40pm-6:30pm Case Study: Canadian Automobile Association
and other B2C examples

The Diminishing Marginal Returns of Variable Creation
in Predictive Analytics Solutions

Richard Boire, BoireFillerGroup
6:30pm-7:30pm Reception
Room: Albert Suites

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DAY 2: Tuesday November 16, 2010
All conference sessions take place in Edward 5-7
8:00am-9:00am Registration, Coffee and Danish
Room: Albert Suites
9:00am-9:55am
Keynote
Multiple Case Studies: Anheuser-Busch,
Disney, HP, HSBC, Pfizer, and others

The High ROI of Data Mining for Innovative Organizations
John Elder, Ph.D., Elder Research, Inc.

(Also see Dr. Elder's full-day workshop on Nov. 17)

9:55am-10:30am Break / Exhibits
Room: Albert Suites
  Telecommunications
10:30am-11:20am Case Study: Leading Telecommunications Operator
Predictive Analytics and Efficient Fact-based Marketing
Tamer Keshi, Ph.D., T-Mobile
Beata Kovacs, Deutsche Telekom
11:20am-11:25am Session Changeover
  Thought Leader
11:25am-12:15pm Nine Laws of Data Mining
Tom Khabaza, khabaza.com
12:15pm-1:30pm Lunch / Exhibits
Room: Albert Suites
1:30pm-2:25pm Expert Panel
Kaboom! Predictive Analytics Hits the Mainstream

Panelists
John Elder, Ph.D., Elder Research, Inc.
Colin Shearer, WW Industry Solutions Leader, IBM UK Ltd
Udo Sglavo, Global Analytic Solutions Manager, SAS
Panel moderator
Eric Siegel, Ph.D., Program Chair, Predictive Analytics World
2:25pm-2:30pm Session Changeover
  Crowdsourcing Data Mining
2:30pm-3:20pm Case Study: University of Melbourne, Chessmetrics
Prediction Competitions: Far More Than Just a Bit of Fun
Anthony Goldbloom, Kaggle Pty Ltd
3:20pm-3:50pm Break / Exhibits
Room: Albert Suites
  Human Resources; e-Commerce
3:50pm-4:40pm Case Study: Naukri.com, Jeevansathi.com
Increasing Marketing ROI and Efficiency of Candidate-Search with Predictive Analytics
Suvomoy Sarkar, HT Media & Info Edge India
4:40pm-5:00pm Closing Remarks
Eric Siegel, Ph.D., Program Chair, Predictive Analytics World

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Post-Conference Workshops: Wednesday November 17, 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.

Register

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