Blue circle sessions are for All Levels
Red triangle sessions are Expert/Practitioner Level| Pre-Conference Workshop: Sunday, September 27, 2015 | |
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R for Predictive Modeling Hands-On: Business and Healthcare  Max Kuhn, Pfizer |
Big Data: Proven Methods You Need to Extract Big Value  Vladimir Barash, Graphika |
| DAY 1, Monday, September 28, 2015 (PAW Healthcare runs in parallel on this day - dual registration required) |
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| 8:00-8:45am | Registration & Networking Breakfast Room: Commonwealth Hall |
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| 8:45-8:50am | Conference Chair Welcome Eric Siegel, Predictive Analytics World Room: Amphitheater | ||
| 8:50-9:40am |
Special Plenary Session • Room: Amphitheater Top Five Technical Tricks to Try when Trapped Dr. John Elder, Elder Research |
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| 9:40-10:00am | Diamond Sponsor Presentation • Room: Amphitheater New Advances in Data Preparation for Advanced Analytics Dan Potter, Datawatch Corporation  |
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| 10:00-10:30am | Exhibits & Morning Coffee Break Room: Commonwealth Hall |
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| Track 1: All Levels Moderator: Karl Rexer Room: Harborview 1 |
Track 2: Expert/Practitioners Moderator: Lawrence Cowan Room: Amphitheater |
Track 3: Financial Services Moderator: Dave Dimas Room: Harborview 2 |
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| 10:30-11:15am | Modeling Methods |  Uplift Modeling |
Analytics Tactics |
Picking the Right Modeling Technique for the problem Michael Berry, Tripadvisor for Business |
Case Study: Fidelity Uplift Modeling and Uplift Prescriptive Analytics for Multiple Treatments Victor Lo, Fidelity Investments; Bentley University |
Case Study: American Savings Bank Driving Superior Growth Through Self-Developed Code, Scoring Modeling, and Price Optimization Herman Jopia, American Savings Bank |
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| 11:20am-12:05pm | Salesforce Analytics | Advanced Methods | Policyholder Acquisition, Risk & Retention |
| Case Study: EMC Predicting B2B Sales Success John Smits, EMC |
Case Study: Opera Philadelphia Pricing and Segmentation Utilizing Menu-based Conjoint Lawrence Cowan, Cicero Group |
Predictive Analytics in Life Insurance Sears Merritt, MassMutual Financial Group |
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| 12:05-1:30pm | Lunch in Exhibit Hall Room: Commonwealth Hall |
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| 1:30-2:15pm |
Keynote • Room: Amphitheater Buy or Wait? How the Bunny Predicts When to Buy Your Plane Ticket Patrick Surry, Hopper |
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| 2:15-2:20pm | Lightning Round • Room: Amphitheater    |
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| 2:20-2:35pm | Gold Sponsor Presentation • Room: Amphitheater Predictive Analytics in the Digital Era Kumar Amitesh, TCS BPS, North America | ||
| Track 1: All Levels Moderator: Karl Rexer Room: Harborview 1 |
Track 2: Expert/Practitioners Moderator: Lawrence Cowan Room: Amphitheater |
Track 3: Financial Services Moderator: Alfred Essa Room: Harborview 2 |
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| 2:40pm-3:25pm | Energy analytics - big data digital oil fields | Uplift Modeling | Debt Collection Optimization
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| Case Study: Halliburton Challenges in Leveraging Predictive Analytics for Big Data in Oil and Gas Satyam Priyadarshy, Halliburton |
Case Study: Telenor Applying Next Generation Uplift Modeling to Optimize Customer Retention Programs Patrick Surry, Hopper |
Case Study: RCS Group (S. African creditor) Recoveries: External Debt Collection Optimization Werner Britz, RCS Group |
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| 3:25-3:55pm |
Exhibits & Afternoon Break Room: Commonwealth Hall |
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| Track 1: All Levels Room: Harborview 1 |
Track 2: Expert/Practitioners Room: Amphitheater |
Track 3: Financial Services Room: Harborview 2 |
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| Bid Optimization (for construction) | Ad & Marketing Analytics | Insurance; Analytics strategy
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| 3:55-4:40pm | Case Study: A construction contractor "Confucius says..." - Using Analytics to Predict Construction Bids Paul Mlakar, Graypoint Industries |
Case Study: Verizon Predicting Behaviorial Influence in Real-Time for Dynamic Offers Madhu Raman, Verizon | Case Study: Metlife Establishing Value: the "Making Impact Through Analytics" Framework Bin Mu, MetLife |
| Retail Advertising Analytics | Market Mix Modeling | Forming an Analytics Team |
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| 4:45-5:05pm | Case Study: Top 500 Internet Retailer in the U.S. Using Predictive Analytics to Drive Successful Product-Based Marketing in e-Commerce Product Listing Ad Channels Ryan Williams, Sidecar |
Cross-Platform Media: How to Leverage Household Response Modeling and Track Campaign Measurement Justin Petty, 84.51° | Case Study: Travelers A Journey along the Predictive Analytics Maturity Curve David McMichael, Travelers |
| 5:10-5:30pm | Clustering for Marketing and Beyond | ||
| Driving Product Improvements and Marketing Efforts through Software Usage Logs Rick Chin, SolidWorks Kimberly Scott, Elder Research, Inc. |
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| 5:30-7:00pm | Networking Reception • Room: Commonwealth Hall Sponsored by: |
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| DAY 2, Tuesday, September 29, 2015 (PAW Healthcare runs in parallel on this day - dual registration required) (The Predictive Analytics Times Executive Breakfast also runs in parallel on this day) |
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| 8:00-8:45am | Registration & Networking Breakfast Room: Commonwealth Hall |
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| 8:45-9:30am |
Keynote • Room: Amphitheater Case Study: SmarterHQ The Revolution in Retail Customer Intelligence Dean Abbott, SmarterHQ |
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| 9:30-9:40am | Plenary Session • Room: Amphitheater Industry Trends: Highlights from the 2015 Data Miner Survey Karl Rexer, Rexer Analytics |
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| 9:40-10:00am | Diamond Sponsor Presentation • Room: Amphitheater Big Data Analytics with Oracle Advanced Analytics12c and Big Data SQL Charles Berger, Oracle Dunkin Brands Turn Big Data into Big Advantage Case Study Charles Berger, Oracle Mahesh Jagannath, Dunkin Brands  | ||
| Track 1: All Levels Moderator: Dave Dimas Room: Harborview 1 |
Track 2: Expert/Practitioners Moderator: Scott Lancaster Room: Amphitheater |
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| 10:05am-10:50am | Education Analytics & Personalized Learning | Open Data Sources | |
| Case Study: McGraw Hill Education Unlocking the Power of Big Data to Transform Learning Alfred Essa, McGraw Hill Education |
The More the Merrier: Leveraging Open Data Sources to Increase Customer Insights Through Predictive Analytics Steven Ramirez, Beyond the Arc |
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| 10:50-11:15am | Exhibits & Morning Coffee Break Room: Commonwealth Hall |
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| Workforce Analytics | Best Practices | ||
| 11:15-12:00pm |
Case Study: Paychex Predicting Employee Churn with Anonymity Philip OBrien, Paychex |
Q&A: Ask Dean and Karl Anything (about Best Practices) Dean Abbott, SmarterHQ Karl Rexer, Rexer Analytics |
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| 12:00-1:30pm | Lunch in Exhibit Hall Room: Commonwealth Hall |
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| 1:30-2:15pm | Keynote • Room: Amphitheater Data Science at The New York Times Christopher Wiggins, The New York Times |
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| 2:15-3:00pm |
Expert Panel • Room: Amphitheater Education and Training Options for Predictive Analytics Panelists: Thomas Hill, Dell Statistica Software, Information Management Group Dave Dimas, Mechanical and Aerospace Engineering & Science and IT Programs Extension, The University of California, Irvine Will Ford, Predixion Software | ||
| 3:00-3:30pm | Exhibits & Afternoon Break Room: Commonwealth Hall |
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| Track 1: All Levels Moderator: Kimberly Scott Room: Harborview 1 |
Track 2: Expert/Practitioners Moderator: Herman Jopia Room: Amphitheater |
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| 3:30-4:15pm | Analytics for Project Management |
Workforce Analytics | |
| Case Study: State Street Predictive Analytics for Project Management--Cost Avoidance Scott Lancaster, State Street Corp. |
Case Study: An Organization's Sales Force A Transaction-Based Approach to Understand Sales Representative Growth, Performance, and Gaming Pasha Roberts, Talent Analytics, Corp. |
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| Experimental Design | Marketing; Advanced Methods | ||
| 4:20-4:40pm | Case Study: Perion Networks Early Detection of Long Term Evaluation Criteria in Online Controlled Experiments Boris Rabinovich, Perion Networks |
Case Study: A Financial Creditor What Landing a Rover on Mars Taught us about Optimization of Marketing Strategies for Loan Portfolios Dave Bose, Analytical Mechanics Associates, Inc. |
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| Analytics for Strategy | |||
| 4:45-5:05pm | Driving Strategy Execution Using Big Data Analytics Mohamed Guidoum, AIMS (EAU) |
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| 5:30-7:30pm | Big Data Analytics Meetup: Embed Analytics Everywhere Thomas Hill, Dell Statistica Software, Information Management Group  |
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| Post-Conference Workshop: Wednesday, September 30, 2015 | ||
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The Best and the Worst of Predictive Analytics: Predictive Modeling Methods and Common Data Mining Mistakes Dr. John Elder, Elder Research, Inc. |
Supercharging Prediction with Ensemble Models Dean Abbott, Abbott Analytics |
Predictive Analytics in Healthcare: Techniques, Opportunities, and Challenges in Changing the Way We Deliver Healthcare Gary Miner, Dell Represenative Ken Yale, ActiveHealth Management Linda A. Winters-Miner, UC-I & UCSD Derek Walton, Closis Nephi Walton Sponsored by:
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| Post-Conference Workshop: Thursday, October 1, 2015 |
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Advanced Methods Hands-on: Predictive Modeling Techniques Dean Abbott, Abbott Analytics Sponsored by:
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