All level tracks Track 1 sessions are for All Levels
Track 2 sessions are Expert/Practitioner Level


Agenda Overview – Chicago – June 2014
Pre-Conference Workshop: Monday, June 16, 2014
Full-day Workshop • Room: S101B
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: Predixion

DAY 1, Tuesday, June 17, 2014
8:00-8:45am Registration & Networking Breakfast
Room: Foyer
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
Dell
Room: S104AB
9:10-10:00am
Keynote
The Prediction Effect, the Data Effect, and the Persuasion Effect
Eric Siegel, Predictive Analytics World
Room: S104AB
10:00-10:30am Exhibits & Morning Coffee Break
Room: Foyer
  Track 1: All Levels
Room: S105A
Track 2: Expert/Practitioners
Rm: S104AB
10:30-11:15am Large-Scale Continuous Learning Analytics Techniques
Case Study: eBay All level tracks
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
11:20am-12:05pm Store Outlet Analytics Market Mix Modeling
Case Study: Redbox All level tracks
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
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
2:15-2:35pm Gold Sponsor Presentation
The new age of Analytics
Durjoy Patranabish, Blueocean Market Intelligence

Room: S104AB
  Track 1: All Levels
Room: S105A
Track 2: Expert/Practitioners
Room: S104AB
2:40pm-3:00pm Sales Forecasting Political Campaign Analytics
Case Study: United Stationers All level tracks
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
3:05pm-3:25pm Alternative Data Sources Workforce Analytics - Retention
Case Studies: FPB, Capital One, Citibank, Bank of America All level tracks
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
3:25-3:55pm Exhibits & Afternoon Break
Room: Foyer
  Churn Modeling for Customer Retention Social Media for Financial Trading
3:55-4:15pm Case Study: Paychex Inc. All level tracks
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
Insurance Analytics Leadership
4:45-5:30pm Case Study: : AIG All level tracks
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
8:35-8:40am Conference Chair Welcome
Eric Siegel, Predictive Analytics World
Room: S104AB
8:40-9:10am Diamond Sponsor Presentation
The Rise of Operational Predictive Systems
Roger Barga, Microsoft
Zubin Dowlaty, Mu Sigma
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
10:00-10:30am Exhibits & Morning Coffee Break
Room: Foyer
  Track 1: All Levels
Room: S105A
Track 2: Expert/Practitioners
Room: S104AB
  Driver Safety Data Cleansing
10:30-10:50am Beyond Telematics: Using Data to
Predict the Future
All level tracks
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 DiegoAll level tracks
Sensor Streams:
Big Data Predictive Analytics

Natasha Balac, UCSD Supercomputer Center
 
11:20am-12:05pm Ensemble Methods Uplift Modeling
Using Machine Learning to Improve
Student Success
All level tracks
Jason Levin, Western Governors University
Case Study: Subaru of America
Uplift Modeling and Beyond
Douglas Miller, Rocket Fuel
Peter Amstutz, Carmichael Lynch
12:05-1:10pm Lunch in Exhibit Hall
Room: Foyer
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
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
  Track 1: All Levels
Room: S105A
Track 2: Expert/Practitioners
Room: S104AB
3:30-4:15pm Public Health / Food Safety Media Placement:
Beyond Market Mix Modeling
Case Study: Chicago Department of Public Health All level tracks
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
4:20-5:05pm Software Engineering Optimization Consumer Cognitive Modeling
Case Study: IBM All level tracks
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

Post-Conference Workshops: Thursday, June 19, 2014
Full-day Workshop
R for Predictive Modeling:
A Hands-On Introduction

Max Kuhn, Director, Nonclinical Statistics, Pfizer
Room: S102D
Full-day Workshop
Advanced Methods Hands-on:
Predictive Modeling Techniques

Dean Abbott, President, Abbott Analytics
Sponsored by: Dell
Room: S102A

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