Track 1 sessions are for All Levels
Track 2 sessions are Expert/Practitioner Level| Pre-Conference Workshop: Monday, May 12, 2014 |
 Room: 202D Advanced Methods Hands-on: Predictive Modeling Techniques Dean Abbott, President, Abbott Analytics, Inc. Workshop sponsored by: 
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| Pre-Conference Workshop: Tuesday, May 13, 2014 |
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Room: 202D The Best and the Worst of Predictive Analytics: Predictive Modeling Methods and Common Data Mining Mistakes Dr. John Elder, CEO & Founder, Elder Research, Inc. |
| DAY 1: Wednesday, May 14, 2014 | ||
| 7:30-8:45am | Registration Room: Foyer |
Networking Breakfast Room: 205 |
| 8:45-8:50am | Conference Chair Welcome Richard Boire, Boire Filler Group Room: 206AC | |
| 8:50-9:10am | Sponsor Presentation Modernization and Analytics Tim Trussell, SAS Canada  Room: 206AC |
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| 9:10-10:00am |
Keynote The Data Scientist and Value Architect: The People Factor to Success in Predictive Analytics Richard Boire, Boire Filler Group Room: 206AC |
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| 10:00-10:30am | Exhibits & Morning Coffee Break Room: 205 |
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| Track 1: All Levels Room: 206E |
Track 2: Expert/Practitioners Room: 206AC |
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| 10:30-11:10am | Human Resources Analytics/Retention | Risk Analytics |
| Case Study: A Call Centre Company Data Science Approach to Reduce Call Center Attrition Pasha Roberts, Talent Analytics |
Case Study: Fifth Third Bancorp  Loss Estimation Models in CCAR: Comprehensive Capital Analysis and Review by FED Yuan Ming Guo, Fifth Third Bancorp. | |
| 11:15-11:20am | Gold Sponsor Presentations Room: 206AC |
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| 11:25am-12:05pm | Safety Analytics | Thought Leadership |
| Case Study: Workplace Safety & Insurance Board Discrete Time Logistic Hazards Models for Workplace Safety Insurance On-Benefit Duration Models Dragos Capan, Workplace Safety and Insurance Board |
My 5 Pet Peeves in Predictive Analytics Dean Abbott, Abbott Analytics, Inc | |
| 12:05-1:30pm | Lunch in the Exhibit Hall Room: 205 |
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| 1:30-2:15pm | Keynote: Pinpointing the Persuadables: Convincing the Right Customers and the Right Voters Daniel Porter, Obama for America Room: 206AC |
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| 2:15-2:30pm | Lightning Round - Room: 206AC   
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| 2:30-3:15pm | Keynote: The Peril of Vast Search (and How Target Shuffling Can Save Science) Dr. John Elder, Elder Research, Inc. Room: 206AC |
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| 3:15-3:45pm |
Exhibits & Afternoon Break Room: 205 |
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| 3:45-4:30pm | E-Mail Marketing | Internal Collaboration |
| Predictive Analytics to the Rescue of E-mail Marketing Roger Plourde, Intema Solutions |
Case Study: CVM Marketing Addressing the "Analyst/Marketer" Disconnect: 9½ Steps to a More Successful Collaboration Colin Tener, CVM Marketing | |
| 4:35-5:20pm | Optimizing Customer Spend | Sports Analytics |
| Case Study: Liquor Retailer Cross-selling Retail Liquor Products: A Segmented Market Basket Approach Tom Peters, Deloitte |
Designing Effective Hockey Teams through Physical Diversity Kevin Mongeon, The Sports Analytics Institute Mike Boyle, The Sports Analytics Institute | |
| 5:30-7:00pm | Networking Reception Room: 205 |
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| DAY 2: Thursday, May 15, 2014 | ||
| 8:00-8:45am | Registration Room: Foyer |
Networking Breakfast Room: 205 |
| 9:00-9:10am | Conference Chair Welcome Richard Boire, Boire Filler Group Room: 206AC |
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| 9:10-10:00am | ||
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Keynote
Using Predictive Analytics to Predict Employee Performance and Attrition in the Knowledge Economy Greta Roberts, Talent Analytics, Corp. Room: 206AC |
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| 10:00-10:30am | Exhibits & Morning Coffee Break Room: 205 |
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| Track 1: All Levels Room: 206E |
Track 2: Expert/Practitioners Room: 206AC |
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| 10:30-11:15am | Sales Analytics | Survey Response |
| Case Study: Paychex Shaping Sales Strategy with Predictive Analytics Tom Kern, Paychex |
Case Study: CIBC Survey Response Prediction and its Implications Shirin Mojarad, CIBC | |
| 11:20am-12:05pm | Customer Focus | Telecommunications |
| Case Study: Capital One/Bank of America Data, Data Everywhere: Leveraging Predictive Analytics to Unlock Consumer Concerns and Eliminate Dissatisfaction Steven Ramirez, Beyond the Arc |
Case Study: Blackberry Adopting Predictive Analytics to the Big Data World Joel Cumming, Blackberry | |
| 12:05-1:15pm | Lunch in the Exhibit Hall Room: 205 |
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| 1:15-2:00pm |
Expert Panel Predictive Analytics in the Big Data World: Myths and Realities Moderator: Dean Abbott, Abbott Analytics Panelists: Emma Warrilow, Data Insight Group Daymond Ling, CIBC Tracey Jarosz, CIBC Gary Saarenvirta, makeplain Room: 206AC |
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| 2:00-3:00pm |
Expert Panel The Future of Predictive Analytics in Insurance Moderator: Richard Biore, Boire Filler Group Panelists: Barb Addie, Baron Insurance Services Jamie McDougall, Gore Mutual Jim Sulston, North Waterloo Farmers Mutual Insurance Company Carlos Coutinho, Orion Travel Insurance Room: 206AC |
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| 3:00-3:30pm | Exhibits & Afternoon Break Room: 205 |
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| 3:30-4:15pm | Retail Analytics | Regulatory Oversight |
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Case Study: A Retail Company Predictive Analytics and Retail: Shaping the Mobile Experience Neal Oman, Medio | Case Study: The British Columbia Securities Commission Regulatory Oversight Using Predictive Risk Models Christina Wolf, The British Columbia Securities Commission | |
| 4:20-5:05pm | Operational Analytics | Customer Analytics |
| Case Study: Canada Post Realizing the Value of Big Data: Turning Operational Data into Commercial Solutions through the Power of Predictive Modeling James Smith, Canada Post |
Integrating Analytics and Research for Improved Consumers Insights Larry Filler, Boire Filler Group | |
