June 19-22, 2017
Chicago, IL
Delivering on the promise of data science

All level tracks Blue circle sessions are for All Levels
Red triangle sessions are Expert/Practitioner Level

Agenda Overview – Chicago – June 2017

Pre-Conference Workshops: Monday, June 19, 2017
Full-day Workshop
Supercharging Prediction with Ensemble Models
Dean Abbott, Abbott Analytics, Inc.
Full-day Workshop
Hadoop for Predictive Analytics: Hands-On Lab
James Casaletto, MapR Technologies

DAY 1, Tuesday, June 20, 2017
(PAW Manufacturing runs in parallel on this day - dual registration required)
8:00-8:45am Registration & Networking Breakfast
8:45-8:50am Conference Welcome
Eric Siegel, Predictive Analytics World
How Predictive Modelers Can Benefit from Big Data without Big Headaches
Dean Abbott, SmarterHQ
9:40-10:00am Diamond Sponsor Presentation
10:00-10:30am Exhibits & Morning Coffee Break
  Track 1: All Levels Track 2: Expert/Practitioners
Seasonality and Other Contextual Factors Retail Analytics
10:30-11:15am Case Study: Paychex All level tracks
Retention Modeling in
Uncertain Economic Times

Chip Galusha, Paychex
Case Study: SmarterHQ
Automated Retail Analytics -
Omni-Channel and at Scale

William Komp, SmarterHQ
Thought Leadership Cross-Enterprise Deployment; Banking
What is the Analytic Maturity of Your Company and Five Ways to Improve ItAll level tracks
Robert Grossman, Open Data Group
Visualization of Analytics Results - Critical for Communication
Bryan Bennett, Northwestern University
12:05-1:30pm Lunch in Exhibit Hall
The Centrality of a Detailed Understanding of your Audience
Haile Owusu, Mashable
2:15-2:35pm Gold Sponsor Presentation
  Track 1: All Levels Track 2: Expert/Practitioners
2:40pm-3:00pm Marketing; Retail Banking Churn Modeling (for Marketing & HR)
Case Study: Wells FargoAll level tracks
Customer Sojourns and Advanced Analytics
Gary Class, Wells Fargo
Using Survival Analytics for Predicting Churn
Pasha Roberts, Talent Analytics, Corp.
3:05pm-3:25pm Next Best Offer; Banking
Case Study: Banco Hipotecario (Bank in Argentina) All level tracks
Building Your Own Real-Time Decision System - Lessons Learned
Federico Rosenhain, Banco Hipotecario
3:25-3:55pm Exhibits & Afternoon Break
  Track 1: All Levels Track 2: Expert/Practitioners
  Agile Analytics Lifetime Value; B2B
Case Study: Allstate InsuranceAll level tracks
Our Success with Agile Analytics
Afsheen Alam, Allstate Insurance
Case Study: Microsoft
Predicting Customer Lifetime Value for a Subscription Based Business

Chao Zhong, Microsoft
4:20-4:40pm Predictive Investing (VC)
Case Study: OpenView Venture Partners All level tracks
Predicting the Future Success of B2B Software Companies
Kwan Lee, Openview Venture Partners
Non-Profit Applications Crediting Scoring; Advanced Methods
4:45-5:30pm Data Science for Social Good: How Predictive Analytics Can Help Governments and Non-ProfitsAll level tracks
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

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DAY 2, Wednesday, June 21, 2017
(PAW Manufacturing runs in parallel on this day - dual registration required)
8:00-8:45am Registration & Networking Breakfast
8:45-9:30am Special Plenary Session
What to Optimize? The Heart of Every Analytics Problem
John Elder, Elder Research
  Track 1: All Levels Track 2: Expert/Practitioners
10:00am - 10:45am Leadership/Management Modeling Methods
Case Studies: GAP, SAP, Lenovo, IBMAll level tracks
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
10:45-11:15am Exhibits & Morning Coffee Break
  Management Analytics Uplift Modeling
11:15-11:35am Case Study:Nokia
Measuring the Impact of Culture Change Using Advanced AnalyticsAll level tracks
Steven Ramirez, Beyond the Arc
Jim Whiting, Nokia
Case Study: UnitedHealth Group -
Medicare & Retirement

Enhance Direct Mail Optimization
Using Uplift Models

Duane Passa, UnitedHealth Group,
Medicare & Retirement
11:40am-12:00pm Healthcare Analytics
Early Screening for Autism By
Combining Question-Based and Video-Based Predictors
All level tracks
Halim Abbas, Cognoa
12:00-1:15pm Lunch in Exhibit Hall
Case Study: American Savings Bank
Driving Growth And Profitability Through Scoring Modeling,
Programming, and Price Optimization

Herman Jopia, American Savings Bank
2:00-2:15pm Lightning Round
2:15-3:00pm Expert Panel
Women in Predictive Analytics: Opportunities and Challenges
Moderator: Greta Roberts, Talent Analytics, Corp.
Panelists: Jennifer Lewis Priestley, Kennesaw State University
Morgane Ciot, DataRobot
3:00-3:30pm Exhibits & Afternoon Break
  Track 1: All Levels Track 2: Expert/Practitioners
Cyber Security Advanced Methods
3:30-4:15pm Case Study: Health Care Service CorporationAll level tracks
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
Case Study: National Consumer Panel All level tracks
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

Post-Conference Workshop: Wednesday, June 21, 2017
Three hours: 5:30-8:30pm
R Bootcamp: For Newcomers to R
Max Kuhn, RStudio

Post-Conference Workshops: Thursday, June 22, 2017
Full-day Workshop
R for Predictive Modeling: A Hands-On Introduction
Max Kuhn, RStudio
Full-day Workshop
The Best and the Worst of Predictive Analytics:
Predictive Modeling Methods and Common Data Mining Mistakes

John Elder, Elder Research, Inc.
Full-day Workshop
Advanced Methods Hands-on: Predictive Modeling Techniques
Dean Abbott, Abbott Analytics, Inc.

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