Red triangle sessions are Expert/Practitioner Level| Pre-Conference Workshops: Monday, June 19, 2017 | ||
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Supercharging Prediction with Ensemble Models  Dean Abbott, Abbott Analytics |
Spark on Hadoop for Machine Learning: Hands-On Lab James Casaletto, MapR Technologies |
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| DAY 1, Tuesday, June 20, 2017 (PAW Manufacturing runs in parallel on this day - dual registration required) |
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| 8:00-8:55am | Registration & Networking Breakfast Room: Salon A |
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| 8:55-9:00am | Conference Welcome Room: Salon A Eric Siegel, Predictive Analytics World | |
| 9:00-10:00am |
Keynote• Room: Salon A5 How Predictive Modelers Can Benefit from Big Data without Big Headaches Dean Abbott, SmarterHQ |
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| 10:00-10:30am | Exhibits & Morning Coffee Break Room: Salon A |
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| Track 1: All Levels Room: Salon A3 |
Track 2: Expert/Practitioners Room: Salon A5 |
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| Seasonality and Other Contextual Factors | Retail Analytics | |
| 10:30-11:15am | Case Study: Paychex  Retention Modeling in Uncertain Economic Times Mark Heiler, Paychex |
Case Study: SmarterHQ Automated Retail Analytics - Omni-Channel and at Scale William Komp, SmarterHQ |
| Thought Leadership | Cross-Enterprise Deployment; Banking | |
| 11:20am-12:05pm | What is the Analytic Maturity of Your Company and Five Ways to Improve It Robert Grossman, Open Data Group |
Visualization of Analytics Results - Critical for Communication Bryan Bennett, Northwestern University |
| 12:05-1:30pm | Lunch in Exhibit Hall Room: Salon A |
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| 1:30-2:15pm |
Keynote • Room: Salon A5 The Centrality of a Detailed Understanding of your Audience Haile Owusu, Mashable |
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| 2:15-2:35pm | Gold Sponsor Presentation • Room: Salon A5 Driving high-impact business outcomes with the Art of Analytics  |
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| Track 1: All Levels Room: Salon A3 |
Track 2: Expert/Practitioners Room: Salon A5 |
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| 2:40pm-3:00pm | Goverment applications | Churn Modeling (for Marketing & HR) |
| Case Study: City of Chicago Using Data Science to Predict Water Quality in Lake Michigan's Swimming Beaches Nick Lucius, City of Chicago |
Using Survival Analytics for Predicting Churn Pasha Roberts, Talent Analytics, Corp. |
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| 3:05pm-3:25pm | Next Best Offer; Banking | |
| Case Study: Banco Hipotecario (Bank in Argentina) Building Your Own Real-Time Decision System - Lessons Learned Federico Rosenhain, Banco Hipotecario |
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| 3:25-3:55pm |
Exhibits & Afternoon Break Room: Salon A |
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| Track 1: All Levels Room: Salon A3 |
Track 2: Expert/Practitioners Room: Salon A5 |
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| Agile Analytics | Lifetime Value; B2B | |
| 3:55-4:15pm | ||
| Case Study: Allstate Insurance Our Success with Agile Analytics Afsheen Alam, Allstate Insurance |
Case Study: Microsoft Predicting Customer Lifetime Value for a Subscription Based Business Chao Zhong, Microsoft |
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| 4:20-4:40pm | Predictive Investing (VC) | |
| Case Study: OpenView Venture Partners Predicting the Future Success of B2B Software Companies Kwan Lee, CTO, AcademicMerit |
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| Non-Profit Applications | Crediting Scoring; Advanced Methods | |
| 4:45-5:30pm | Data Science for Social Good: How Predictive Analytics Can Help Governments and Non-Profits Lauren Haynes, Center for Data Science and Public Policy at The University of Chicago |
An R Based Variable Transformation and Selection Tool for Credit Scorecards Thomas Brandenburger, South Dakota State University Allison Lempola, RProfet |
| 5:30-7:00pm | Networking Reception Room: Salon A |
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| DAY 2, Wednesday, June 21, 2017 (PAW Manufacturing runs in parallel on this day - dual registration required) |
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| 8:00-9:00am | Registration & Networking Breakfast Room: Salon A |
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| 9:00-10:00am | Special Plenary Session • Room: Salon A5 What to Optimize? The Heart of Every Analytics Problem John Elder, Elder Research |
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| Track 1: All Levels Room: Salon A3 |
Track 2: Expert/Practitioners Room: Salon A5 |
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| 10:00am - 10:45am | Leadership/Management | Modeling Methods |
| Case Studies: GAP, SAP, Lenovo, IBM Change Management for Establishing a Data-Driven Culture Holly Lyke-Ho-Gland, APQC Michael Sims, APQC |
Integrating Segmentation with Predictive Models-Building More Robust Solutions Richard Boire, Environics Analytics |
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| 10:45-11:15am | Exhibits & Morning Coffee Break Room: Salon A |
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| Management Analytics | Uplift Modeling | |
| 11:15-11:35am | Case Study:Nokia Measuring the Impact of Culture Change Using Advanced Analytics Steven Ramirez, Beyond the Arc Jim Whiting, Nokia |
Case Study: Telenor; US Bank Uplift Modeling: Optimize for Influence and Persuade by the Numbers Eric Siegel, Predictive Analytics World |
| 11:40am-12:00pm | Healthcare Analytics | |
| Early Screening for Autism By Combining Question-Based and Video-Based Predictors Halim Abbas, Cognoa |
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| 12:00-1:15pm | Lunch in Exhibit Hall Room: Salon A |
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| 1:15-2:00pm |
Keynote • Room: Salon A5 Case Study: American Savings Bank Driving Growth And Profitability Through Scoring Modeling, Programming, and Price Optimization Herman Jopia, American Savings Bank |
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| 2:00-3:00pm |
Expert Panel • Room: Salon A5 Women in Predictive Analytics: Opportunities and Challenges Moderator: Greta Roberts, Talent Analytics, Corp. Panelists: Jennifer Lewis Priestley, Kennesaw State University Jeanne G. Harris, Columbia University of New York Lauren Haynes, Center for Data Science and Public Policy at The University of Chicago | |
| 3:00-3:30pm | Exhibits & Afternoon Break Room: Salon A |
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| Track 1: All Levels Room: Salon A3 |
Track 2: Expert/Practitioners Room: Salon A5 |
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| Cyber Security | Advanced Methods | |
| 3:30-4:15pm | Case Study: Health Care Service Corporation Challenges of Information and Cyber Security Using Predictive Analytics Steven Ulinski, Health Care Service Corporation |
Case Study: Louisiana State Uni. & Louisiana Dept of Corrections How to Revolutionize Your Model Optimization Edward Shihadeh, Auspice Analytics |
| 4:15-5:00pm | Deployment Considerations | Best Practices |
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Case Study: National Consumer Panel Combining Inferential Statistics with Predictive Modeling to Evaluate Changes in Your Business Thomas Schleicher, National Consumer Panel |
Q&A: Ask Dean and Robert Anything (about Best Practices) Dean Abbott, SmarterHQ Robert Grossman, Open Data Group |
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| Post-Conference Workshop: Wednesday, June 21, 2017 | ||
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R Bootcamp: For Newcomers to R  Max Kuhn, RStudio |
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| Post-Conference Workshops: Thursday, June 22, 2017 | ||
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R for Predictive Modeling: A Hands-On Introduction Max Kuhn, RStudio |
Predictive Modeling Methods and Common Data Mining Mistakes John Elder, Elder Research, Inc. |
Advanced Methods: Data Preparation and Modeling Techniques Dean Abbott, Abbott Analytics |
