Track 1 sessions are for All Levels
Track 2 sessions are Expert/Practitioner Level| Pre-Conference Workshop: Monday, June 16, 2014 | |
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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. Workshop sponsored by: 
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| DAY 1, Tuesday, June 17, 2014 | ||
| 8:00-8:45am | Registration & Networking Breakfast Room: Foyer |
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| 8:45-8:50am | Conference Chair Welcome Eric Siegel, Predictive Analytics World Room: S104AB | |
| 8:50-9:10am | Sponsor Presentation From Quality Control and Reacting to Predictive Quality Control and Pre-Acting Thomas Hill, Dell Software Group / StatSoft  Room: S104AB |
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| 9:10-10:00am |
Keynote The Prediction Effect, the Data Effect, and the Persuasion Effect Eric Siegel, Predictive Analytics World Room: S104AB |
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| 10:00-10:30am | Exhibits & Morning Coffee Break Room: Foyer |
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| Track 1: All Levels Room: S105A |
Track 2: Expert/Practitioners Rm: S104AB |
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| 10:30-11:15am | Large-Scale Continuous Learning | Analytics Techniques |
Case Study: eBay  Data Science empowering personalization Ashok Ramani, eBay |
Case Study: Hewlett-Packard  Customer Analytics in Action: Alternative Approaches to Customer Targeting for Marketing Campaign Gitali Halder, Hewlett-Packard |
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| 11:20am-12:05pm | Store Outlet Analytics | Market Mix Modeling |
| Case Study: Redbox Improving Store-Level Test & Control Methodology at Redbox Taly Kanfi, Redbox Matt James, Redbox |
A White-box Approach to Marketing Mix Analytics Tom Allenburg, UnitedHealthcare Medicare & Retirement Mike Feldner, Mu Sigma |
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| 12:05-1:30pm | Lunch in Exhibit Hall
Room: Foyer |
Lunch and Learn Growth & Foresight Analytics Eugene Roytburg, 4i Room: S105A |
| 1:30-2:15pm |
Special Plenary Session The Peril of Vast Search (and How Target Shuffling Can Save Science) Dr. John Elder, CEO & Founder, Elder Research, Inc. Room: S104AB |
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| 2:15-2:35pm | Gold Sponsor Presentation The new age of Analytics Durjoy Patranabish, Blueocean Market Intelligence  Room: S104AB |
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| Track 1: All Levels Room: S105A |
Track 2: Expert/Practitioners Room: S104AB |
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| 2:40pm-3:00pm | Sales Forecasting | Political Campaign Analytics |
| Case Study: United Stationers Accurate Forecasts Using Predictive Analytics John Hassman, United Stationers |
Case Study: A Congressional Election Campaign Data Mining Campaign Data of a Congressional Race Against an Incumbent of the Same Party Chris Simokat, Citi |
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| 3:05pm-3:25pm | Alternative Data Sources | Workforce Analytics - Retention |
| Case Studies: FPB, Capital One, Citibank, Bank of America Open Your Eyes and Ears: Leveraging Predictive Analytics and Alternative Data Sources to Improve the Customer Experience Steven Ramirez, Beyond the Arc |
Case Study: A Household-Name Financial Services Firm A Data Science Approach to Reduce Call Center Attrition Pasha Roberts, Talent Analytics |
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| 3:25-3:55pm |
Exhibits & Afternoon Break Room: Foyer |
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| Churn Modeling for Customer Retention | Social Media for Financial Trading | |
| 3:55-4:15pm |
Case Study: Paychex Inc. Combat Client Churn with Predictive Analytics Tom Kern, Paychex |
Using Social Media Analytics in Trading Strategies Fady Harfoush, Social Market Analytics |
| Retail Analytics | ||
| 4:20-4:40pm | Case Study: Luxottica Next Best Activity Powered by Predictive Modeling Tiziano Cembali, Luxottica |
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| Insurance | Analytics Leadership | |
| 4:45-5:30pm | Case Study: : AIG Predictive Analytics in Insurance Domenick DiCicco, AIG Francisco Javier Arceo, AIG |
Using Sports to Teach Analytics Mike Boyle, The University of Utah |
| 5:30-7:00pm | Networking Reception Room: Foyer |
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| DAY 2, Wednesday, June 18, 2014 | ||
| 8:00-8:35am | Registration & Networking Breakfast Room: Foyer |
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| 8:35-8:40am | Conference Chair Welcome Eric Siegel, Predictive Analytics World Room: S104AB |
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| 8:40-9:10am | Diamond Sponsor Presentation The Rise of Operational Predictive Systems Roger Barga, Microsoft Zubin Dowlaty, Mu Sigma  Room: S104AB | |
| Persuasion Modeling (aka Uplift Modeling) | ||
| 9:10-10:00am |
Keynote Pinpointing the Persuadables: Convincing the Right Customers and the Right Voters Daniel Porter, BlueLabs Room: S104AB |
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| 10:00-10:30am | Exhibits & Morning Coffee Break Room: Foyer |
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| Track 1: All Levels Room: S105A |
Track 2: Expert/Practitioners Room: S104AB |
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| Driver Safety | Data Cleansing | |
| 10:30-10:50am | Beyond Telematics: Using Data to Predict the Future Syrus Nemat-Nasser, Lytx |
Data Preparation from the Trenches: 4 Approaches to Deriving Attributes Dean Abbott, Abbott Analytics, Inc. |
| Large-Scale Sensor Processing | ||
| 10:55-11:15am | Case Study: Smart City - San Diego Sensor Streams: Big Data Predictive Analytics Natasha Balac, UCSD Supercomputer Center |
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| 11:20am-12:05pm | Ensemble Methods | Uplift Modeling |
| Using Machine Learning to Improve Student Success Jason Levin, Western Governors University |
Case Study: Subaru of America Uplift Modeling and Beyond Douglas Miller, Rocket Fuel Peter Amstutz, Carmichael Lynch |
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| 12:05-1:10pm | Lunch in Exhibit Hall Room: Foyer |
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| 1:10-1:55pm |
Keynote Big Data and Numbersense: The Secret Ingredient to Great Analytics Kaiser Fung, Vimeo, NYU and Author, Numbers Rule Your World Room: S104AB |
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| 1:55-2:15pm | Lightning Round        Room: S104AB | |
| 2:15-3:00pm |
Expert Panel Necessary Skills of the Quant: Finance, Fraud, and Marketing Panelists: Pasha Roberts, Talent Analytics Kaiser Fung, Vimeo, NYU and Author, Numbers Rule Your World Mike Feldner, Mu Sigma Room: S104AB | |
| 3:00-3:30pm | Exhibits & Afternoon Break Room: Foyer |
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| Track 1: All Levels Room: S105A |
Track 2: Expert/Practitioners Room: S104AB |
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| 3:30-4:15pm | Public Health / Food Safety | Media Placement: Beyond Market Mix Modeling |
| Case Study: Chicago Department of Public Health Transforming Food Inspections Using Predictive Analytics Jay Bhatt, Chicago Department of Public Health |
Case Study: Axis Bank & Kotak Mahindra Bank (India) Convergence Modeling across Paid, Owned and Earned Media to Measure Business Effectiveness Sweta Agrawal, Starcom Mediavest Group Aarti Bharadwaj, Starcom Mediavest Group |
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| 4:20-5:05pm | Software Engineering Optimization | Consumer Cognitive Modeling |
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Case Study: IBM Optimizing Resource Allocation to Increase the Efficiency of Software Development Nick Kadochnikov, IBM Peter Bradford, IBM |
Media and Murder: By the Numbers Vwani Roychowdhury, NetSeer and UCLA |
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| Post-Conference Workshops: Thursday, June 19, 2014 | |
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R for Predictive Modeling: A Hands-On Introduction Max Kuhn, Director, Nonclinical Statistics, Pfizer Room: S102D |
Advanced Methods Hands-on: Predictive Modeling Techniques Dean Abbott, President, Abbott Analytics Sponsored by:
Room: S102A |
