Track 1 sessions are for All Levels
Track 2 sessions are Expert/Practitioner Level| Pre-Conference Workshop: Monday, March 18, 2013 • Room: 711 |
Advanced Methods Hands-on: Predictive Modeling Techniques Dean Abbott, President, Abbott Analytics, Inc. |
| Pre-Conference Workshop: Tuesday, March 19, 2013 • Room: 711 |
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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, March 20, 2013 | ||
| 8:00-9:00am | Registration & Networking Breakfast Room: Foyer | |
| 9:00-9:05am | Conference Chair Welcome Remarks Richard Boire, Predictive Analytics World Toronto Room: 713 | |
| 9:05-9:20am | Diamond Sponsor Presentation Wading Into Big Data Waters: When to Tread Lightly and When to Dive In Jane Griffin, Deloitte  Room: 713 |
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| 9:20-10:10am |
Keynote The Challenge of Data (Big or Small) in Predictive Analytics Richard Boire, Boire Filler Group Room: 713 |
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| 10:10-10:40am | Exhibits & Morning Coffee Break Room: Foyer |
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| 10:40-10:50am | Room: 711 | Gold Sponsor Presentation Analytics & Crunching the Future Stuart Rose, SAS Institute  Room: 713 |
| Track 1: All Levels | Track 2: Expert/Practitioners | |
| 10:50-11:35am | Churn Modeling Room: 711 |
Financial Services Room: 713 |
| Case Study: Data Insight Group Divide and Conquer: Enhancing Predictions through Segmentation Emma Warrillow, Data Insight Group |
Case Study: Scotiabank  Mortgage Liquidation Model Building and Application Jane Zhong, Scotiabank Wenlei Shi, Scotiabank | |
| 11:40am-12:25pm | Spam Detection Room: 711 |
Thought Leadership Room: 713 |
| Case Study: MailChimp.com Monkeys & Math: How MailChimp Catches Bad Guys John Foreman, MailChimp.com |
My Five Predictive Analytics Pet Peeves Dean Abbott, Abbott Analytics, Inc | |
| 12:25-1:30pm | Lunch Room: Foyer |
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| 1:30-2:15pm | Special Plenary Session Becoming an Ace with a Robot as your Wingman! Dr. John Elder, Elder Research, Inc. Room: 713 |
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| 2:15-2:30pm | Lightning Round of 2-Minute Sponsor Presentations     Room: 713 |
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| 2:35-3:20pm | Military Room: 711 |
Brand Analytics Room: 713 |
| Case Study: RITRE The New Intelligence Tradecraft: Case Studies of Activity Based Intelligence Enabled by the Application of Predictive Analytics Tools on Big Data - a Discussion of Experience and Future Potential Joseph D. Fargnoli, RITRE Corporation |
Case Study: Dell The Illusive Brand: How to Measure Brand and the Communications Focused On It Natalie Kortum, Dell | 3:20-3:50pm |
Exhibits & Afternoon Break Room: Foyer |
| 3:50-4:35pm | Brand Analytics Room: 713 |
Insurance Room: 711 |
| Case Study: a Fortune 500 Company Using Attitudinal Behaviour to Determine Media Spend Shel Smith, Twenty Ten |
Case Study: Broadspire To Sue or Not to Sue: Predicting Litigation Risk Gary Anderberg, Broadspire Bangalore Gunashakar, Broadspire Sergo Grigalashvili, Crawford & Company | |
| 4:40-5:30pm |
Panel Discussion Predictive Analytics in Insurance Risk Moderator: Stuart Rose, SAS Institute Panelists: Jamie McDougall, Personal Insurance Solutions Hashmat Rohian, Aviva Canada Colin Smith, Opta Information Intelligence Room: 713 |
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| 5:30-7:00pm | Networking Reception Room: Foyer |
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| DAY 2: Thursday, March 21, 2013 | ||
| 8:00-9:00am | Registration & Networking Breakfast Room: Foyer |
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| 9:00-9:05am | Conference Chair Welcome Remarks Richard Boire, Predictive Analytics World Toronto Room: 713 |
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| 9:05-9:55am | ||
| Keynote Enabling Data Driven Marketing in a Digital and Social World Brett Mooney, American Express Room: 713 |
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| 9:55-10:50am | Exhibits & Morning Coffee Break Room: Foyer |
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| Track 1: All Levels | Track 2: Expert/Practitioners | |
| 10:50-11:35am | Recruitment Analytics Room: 711 |
Retail Room: 713 |
| Case Study: Talent Analytics Using Analytics to Build Your Analytics Bench: Announcing 2012 Analytics Professionals Study Results Greta Roberts, International Institute for Analytics |
Case Study: MakePlain/Boire Filler Group The Exploding World of Data: The Retail Impact Larry Filler, Boire Filler Group Gary Sarrenvirta, MakePlain Corp. | |
| 11:40am-12:25pm | Big Data Analytics Room: 713 |
Net Lift Room: 711 |
| Case Study: Precog The Productization of Predictive Analytics John De Goes, Precog |
Case Study: Pitney Bowes Uplift Modeling in Theory & Practice Dr. Patrick Surry, Pitney Bowes | |
| 12:25-1:40pm | Lunch Room: Foyer |
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| 1:40-2:25pm |
Plenary Session Case Study: Sport Analytics Institute Succeeding with Analytics in Professional Hockey - Now and Into the Future Kevin Mongeon, Sports Analytics Institute Mike Boyle, Sports Analytics Institute Dan MacKinnon, Pittsburgh Penguins Room: 713 |
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| 2:30-3:15pm | Panel Discussion What is Big Data Analytics: A Canadian Perspective Moderator: Richard Boire, Boire Filler Group Panelists: Dean Abbott, Abbott Analytics, Inc. Rupen Seoni, Environics Analytics Paul Tyndall, RBC Room: 713 |
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| 3:15-3:50pm | Exhibits & Afternoon Break Room: Foyer |
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| 3:50-4:35pm | Data Visualization Room: 713 |
Recruitment Analytics Room: 711 |
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Unlocking the Voice of Your Customer Through Text Analytics Paul Tyndall, RBC | Case Study: Monster Win With Advanced Analytics Jean-Paul Isson, Monster Worldwide | |
| 4:40-5:30pm | Churn Modeling Room: 711 |
Financial Services Room: 713 |
| Case Study: Paychex Customer Retention: Pulling the Needle from the Haystack Erika McBride, Paychex, Inc. Tom Kern, Paychex, Inc. |
Case Study: TD Bank Marketing Predictive Models (Response, Survival and Premium Models) for Credit Card Insurance Dr. Hasan Mytkolli, TD Bank Group Canada Dr. Dragos Calitoiu, TD Bank Group Canada | |
