June 20-23, 2016
Chicago, IL
Delivering on the promise of data science
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All level tracks Blue circle sessions are for All Levels
Red triangle sessions are Expert/Practitioner Level


Agenda Overview – Chicago – June 2015
Pre-Conference Workshop: Monday, June 8, 2015
Full-day Workshop • Room: Salon A2
R for Predictive Modeling:
A Hands-On Introduction

Max Kuhn, Pfizer
Full-day Workshop • Room: Salon A4
Advanced Methods Hands-on:
Predictive Modeling Techniques

Dean Abbott, Abbott Analytics
Sponsored by: Dell
DAY 1, Tuesday, June 9, 2015
(PAW Manufacturing runs in parallel on this day - dual registration required)
8:00-8:45am Registration & Networking Breakfast
Room: Salon A Prefunction
8:45-8:50am Conference Chair Welcome
Eric Siegel, Predictive Analytics World
Room: Salon A5
8:50-9:40am
Keynote • Room: Salon A5
UPS Analytics – The Road to Optimization
Jack Levis, UPS
9:40-10:00am Diamond Sponsor Presentation • Room: Salon A5
Analytics Everywhere and For Everyone
John Thompson, Dell Software
Dell
10:00-10:30am Exhibits & Morning Coffee Break
Room: Salon A Prefunction
  Track 1: All Levels
Room: Salon A2
Track 2: Expert/Practitioners
Room: Salon A5
Track 3: Financial Services
Room: Mobley
10:30-10:50am Analytics Tools Online Marketing Financial TrackSales Management
Forrester's Review Of 12+ Predictive Analytics ToolsAll level tracks
Rowan Curran, Forrester Research
Case Study: SmarterHQ
The Revolution in Retail Customer Intelligence
Dean Abbott, SmarterHQ
Case Study: Paychex All level tracks
Shaping Sales Strategy with Predictive Analytics
Philip O'Brien, Paychex
10:55-11:15am Financial TrackCredit Scoring
Case Study: Mimoni (Latin America lender)All level tracks
Using Predictive Models to Provide More Favorable Short-Term Credit Solutions for the Unbanked
Carlos Soltero, Mimoni
11:20am-12:05pm Political Campaigning Workforce Analytics Financial TrackCustomer Experience Management and Risk Mitigation
Case Study: Bruning for Governor CampaignAll level tracks
Campaigning with Predictive Analytics

Nathan Watson, Contemporary Analysis Inc. (CAN)
Case Study: An Organization's Sales Force
Time Series Clustering to Predict Sales Representative Growth, Performance, and Gaming
Pasha Roberts, Talent Analytics, Corp.
Case Studies: CFPB, CapOne, Citibank, and BoA
Fortune Tellers Need Not Apply: Leveraging Predictive Analytics and Big Data to Mitigate Emerging Risks and Improve Customer Experience
Steven Ramirez, Beyond the Arc, Inc.
12:05-1:30pm Lunch in Exhibit Hall
Room: Salon A Prefunction
1:30-2:15pm
Keynote • Room: Salon A5
The Balance Between Science and Practical Decision Making
Rajeeve Kaul, OfficeMax
2:15-2:30pm Lightning Round • Room: Salon A5
       
  Track 1: All Levels
Room: Salon A2
Track 2: Expert/Practitioners
Room: Salon A5
Track 3: Financial Services
Room: Mobley
2:40pm-3:00pm Data Asset Management Hiring and Recruiting Financial TrackMarketing; Advanced Methods
Strategies for Monetizing Big Data through
Digital Platforms
All level tracks
Russell Walker, Kellogg School of Management
Case Study: The Data
Incubator

Data-driven Hiring of Data Scientists
Michael Li, The Data Incubator
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.
3:05pm-3:25pm Digital Marketing Financial TrackFraud Detection
Case Study: Cisco All level tracks
Building a Digital Marketing Data Science Discipline at Cisco: Experiments to Excellence
Viswanath Srikanth, Cisco
Paul Martson, Cisco
Case Study: Credit Card
Fraud

21st Century Fraud Analytics (Detection) in a Predictive Analytics World
Delena Spann, United States Government Agency
3:25-3:55pm Exhibits & Afternoon Break
Room: Salon A Prefunction
  Track 1: All Levels
Room: Salon A2
Track 2: Expert/Practitioners
Room: Salon A5
Track 3: Financial Services
Room: Mobley
  Churn Modeling IT Workload Management Financial TrackInsurance; Unique Data Assets
3:55-4:15pm Case Study: The Leading Cable Provider in South Africa All level tracks
Improving Customer Payment Behavior Using Default Predictive Modeling
Tristan Bergh, Ixio Analytics
Case Study: IBM
Applied Predictive Analytics to Workload Automation
Arcangelo Di Balsamo, IBM
Case Study: TransUnionAll level tracks
What Unique Data Assets Reveal about Auto Insurance Shopping and Consumers
John Ittner, TransUnion
4:20-4:40pm Financial TrackInsurance
Case Study: Risk Transfer (Insurance Agency)All level tracks
Laying the Groundwork to Predict Risk Trends around Worker's Compensation Insurance
Paul Hughes, Risk Transfer
Mitch Hamilton, Data Blueprint
Hadoop for Predictive Analytics Best Practices Financial TrackInsurance; Churn Modeling
4:45-5:05pm Predictive Analytics: Best Practices for Generating Business AdvantageAll level tracks
Mike Emerick & Jay Margalus, MapR Technologies
Q&A: Ask Dean and Steven Anything
(about Best Practices)

Dean Abbott, SmarterHQ
Steven Ramirez, Beyond the Arc
Case Study: A Fortune 100 Health Insurance Company
Journey: Customer Retention from the bricks of Data to the Dome of a Model
Boris Kerzhner, Slalom Consulting
5:30-7:00pm Networking Reception
Room: Salon A Prefunction

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DAY 2, Wednesday, June 10, 2015
(PAW Manufacturing runs in parallel on this day - dual registration required)
(The Predictive Analytics Times Executive Breakfast also runs in parallel on this day)
8:00-8:45am Registration & Networking Breakfast
Room: Salon A Prefunction
8:45-8:50am Opening and Welcome
8:50-9:05am Diamond Sponsor Presentation
Cognizant

Room: Salon A5
9:10-10:00am
Keynote • Room: Salon A5
Blackjack Analytics: A Surprising Teacher from Which All Businesses Can Learn
Sameer Chopra, Orbitz Worldwide
  Track 1: All Levels
Track 2: Expert/Practitioners
  Public Health / Food Safety
Room: Salon A2
Uplift Modeling
Room: Salon A5
10:00-10:20am Case Study: City of Chicago
Transforming Food Inspections Using Predictive Analytics
All level tracks
Tom Schenk, City of Chicago
Case Study: Telenor
Applying Next Generation Uplift Modeling to Optimize Customer Retention Programs

Patrick Surry, Hopper
  Advanced Methods
10:25-10:45am Nature Inspired Predictive Analytics Algorithms All level tracks
Anasse Bari, George Washington University
Mohamed Chaouchi, U.S. Census Bureau
 
10:45-11:15am Exhibits & Morning Coffee Break
Room: Salon A Prefunction
11:15am-12:00pm Price Prediction Advanced Methods
Case Study: HopperAll level tracks
Buy or Wait? How the Bunny Predicts When to Buy Your Plane Ticket
Patrick Surry, Hopper
The Holy Grail of Improving Modeling Performance (Math or Data)
Richard Boire, Boire Filler Group
12:00-1:15pm Lunch in Exhibit Hall
Room: Salon A Prefunction
1:15-2:00pm Special Plenary Session • Room: Salon A5
Top Five Technical Tricks to Try when Trapped
Dr. John Elder, Elder Research
2:00-2:15pm Sponsor Presentation • Room: Salon A5
Self-Service Data Prep and Visual Discovery to Bridge the IT and Business Gap
DataWatch
Dan Potter, Datawatch Corporation
2:15-3:00pm Expert Panel • Room: Salon A5
Education and Training Options for Predictive Analytics

Panelists:
Sameer Chopra, Orbitz Worldwide
Thomas Hill, Ph.D., Dell Statistica Software, Information Management Group
Will Ford, Predixion Software
3:00-3:30pm Exhibits & Afternoon Break
Room: Salon A Prefunction
  Track 1: All Levels
Room: Salon A2
Track 2: Expert/Practitioners
Room: Salon A5
3:30-3:50pm Market Mix Modeling Advanced Methods
Case Studies: A large soft drink manufacturer, leading OTC pharma company, and large gift based
online retailer
All level tracks
Using Predictive Analytics to Funnel Your Way to More Profits: Marketing Mix Modeling & ROI Optimization

Joseph Brandenburg, Dunn Solutions Group
Case Study: Opera Philadelphia
Pricing and Segmentation Utilizing Menu-based Conjoint
Lawrence Cowan, Cicero Group
3:55-4:15pm Marketing
Case Study: NeustarAll level tracks
Using Predictive Analytics to Target with Better Precision
Rashmi Vittal, Neustar
4:15-5:00pm Market Research Unstructured Data
Case Study: National Consumer Panel (by Nielsen)All level tracks
The Importance of an Early Win¯ in Promoting a Greater Predictive Analytics Capability
Thomas Schleicher, National Consumer Panel
Case Study: Next Principles
Going Beyond Numbers: Creating Business Value from Unstructured Data

Mahesh Kumar, Tiger Analytics

Post-Conference Workshop: Thursday, June 11, 2015
Full-day Workshop • Room: Salon A2
The Best and the Worst of Predictive Analytics:
Predictive Modeling Methods and Common Data Mining Mistakes

Dr. John Elder, Elder Research, Inc.
Full-day Workshop • Room: Salon A4
Supercharging Prediction with Ensemble Models
Dean Abbott, Abbott Analytics

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