| Pre-Conference Workshop: Tuesday, April 24, 2012 | ||
| Full-day Workshop | ||
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 | |
| 9:00-10:00am |
Keynote 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     
|
|
| 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, Aryng.com, 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 | |
| 4:25-5:05pm | ||
| 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 | |
| DAY 2: Thursday, April 26, 2012 | ||
| 7:30-9:00am | Registration & Breakfast | |
| 9:00-10:00am | Open Question Answering | |
| Keynote 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 |
||
| 4:30-5:10pm | ||
| 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 | ||
Dean Abbott, President, Abbott Analytics, Inc. Sponsored by: 
|
