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Agenda Overview – Toronto – April 25 - 26, 2012

Pre-Conference Workshop: Tuesday, April 24, 2012
Full-day Workshop
The Best and the Worst of Predictive Analytics:
Predictive Modeling Methods & Common Data Mining Mistakes

John Elder, CEO & Founder, Elder Research, Inc

DAY 1: Wednesday, April 25, 2012
7:30-9:00am Registration & Breakfast
Persuasion by the Numbers: Optimize Marketing Influence by Predicting It
Eric Siegel, Program Chair, Predictive Analytics World
10:00-10:10am Lightning Round of 2-Minute Sponsor Presentations
   IBM   KXEN   getclarity   
10:10-10:45am Break / Exhibits
10:45-11:30am Segment Analysis
Case Study: MTV Networks
Predictive Social Marketing Sentiment Forecasting and Impact on Success
Jared Lees, Adobe Systems
11:35am-12:20pm Special Featured Session
Multiple Case Studies: Disney, HSBC, Pfizer, and others

The High ROI of Data Mining for Innovative Organizations
John Elder, Elder Research, Inc.
12:20-12:40pm Platinum Sponsor Presentation
Managing Forward: Analytics For Today's Multi-Channel, Multi-Device Consumer

Larry Freed, ForeSee
12:40-1:40pm Lunch / Exhibits
1:40-2:25pm Keynote
The Five Myths of Predictive Analytics
Piyanka Jain, CEO,, Former PayPal Business Analytics Head
2:25-3:00pm Break / Exhibits
3:00-3:45pm Financial Services
Case Study: CIBC
Creating Value Segmentation to Drive Business Strategies
Daymond Ling, Canadian Imperial Bank of Commerce (CIBC)
3:50-4:10pm Crowdsourcing Data Mining
Case Study: Capital One Financial
Competitive Training of Predictive Modelers
Leonard Roseman & Ozgur Cetiner, Capital One Financial
4:10-4:25pm Break / Exhibits
Case Study
Top 10 Data Mining Business Mistakes
Jeff Deal, Elder Research, Inc.
5:15-5:35pm Insurance
Case Study: Crawford & Company
Predictive Analytics in Property Insurance Claims: Findings and Lessons Learned
Sergo Grigalashvili, Crawford & Company & Rumit Jain, Ontos Information Systems
5:35-7:30pm Reception / Exhibits

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DAY 2: Thursday, April 26, 2012
7:30-9:00am Registration & Breakfast
9:00-10:00am Open Question Answering
Putting IBM Watson to Work
Edward Nazarko, Client Technical Advisor, IBM
10:00-10:40am Break / Exhibits
10:40-11:25am HR Analytics
Case Study: U.S. Special Forces
Hiring and Selecting Key Personnel Using Predictive Analytics
Dean Abbott, Abbott Analytics, Inc.
11:30am-12:15pm Insurance
Case Study: Alberta Motor Association
Insurance Pricing Models using Predictive Analytics
Richard Boire, Boire Filler Group
12:15-1:45pm Lunch / Exhibits
1:45-2:35pm Expert Panel
Wise Enterprise: Best Practices for Managing Predictive Analytics
Rachel Alt-Simmons, SAS Institute, Tim Daciuk, IBM Global Business Services & John Elder, Elder Research, Inc.
2:40-3:00pm Demand Generation
Case Study: IBM
If We Host It; Will They Come? Predictive Modeling for Event Marketing
Tim Daciuk, Advanced Analytics, IBM Global Business Services & Bob Humphreys, IBM Canada
3:00-3:45pm Break / Exhibits
3:45-4:05pm Ensemble Models; Software Dev Cost Estimation
Case Study: Galorath
Revenge of the Clueless: Combining Many Poor Estimates into an Expert Forecast
Mike Kimel, Analytic Economics
4:10-4:30pm Telecommunications
Beyond Dating: Predicting Engagement in your Customer Base
Emma Warrillow, DiG (Data Insight Group Inc.) & Davide Lazzari, SiriusXM
Case Study: Verizon Wireless & BHP Billiton (Australian mining company)
Visualizing Forecast Models with Interactive Scenario Analysis to Optimize Profitability
Richard Brath, Oculus

Post-Conference Workshop: Friday, April 27, 2012
Full-day Workshop
Advanced Methods Hands-on: Predictive Modeling Techniques
Dean Abbott, President, Abbott Analytics, Inc.
Sponsored by: SAS

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