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


Agenda Overview – Boston – Sept-Oct 2015
Pre-Conference Workshop: Sunday, September 27, 2015
Full-day Workshop • Room: Harborview 1
R for Predictive Modeling Hands-On:
Business and Healthcare

Max Kuhn, Pfizer
Full-day Workshop • Room: Harborview 2
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)
8:00-8:45am Registration & Networking Breakfast
Room: Commonwealth Hall
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
9:40-10:00am Diamond Sponsor Presentation • Room: Amphitheater
New Advances in Data Preparation for Advanced Analytics
Dan Potter, Datawatch Corporation
Datawatch
10:00-10:30am Exhibits & Morning Coffee Break
Room: Commonwealth Hall
  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
10:30-11:15am Modeling Methods Financial TrackUplift Modeling Financial TrackAnalytics Tactics
Picking the Right Modeling Technique for the problemAll level tracks
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 All level tracks
Driving Superior Growth Through Self-Developed Code, Scoring Modeling, and Price Optimization
Herman Jopia, American Savings Bank
11:20am-12:05pm Salesforce Analytics Advanced Methods Financial TrackPolicyholder Acquisition, Risk & Retention
Case Study: EMCAll level tracks
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
12:05-1:30pm Lunch in Exhibit Hall
Room: Commonwealth Hall
1:30-2:15pm
Keynote • Room: Amphitheater
Buy or Wait? How the Bunny Predicts When to Buy Your Plane Ticket
Patrick Surry, Hopper
2:15-2:20pm Lightning Round • Room: Amphitheater
   UCI Extension    Experian    Tata Logo
2:20-2:35pm Gold Sponsor Presentation • Room: Amphitheater
Predictive Analytics in the Digital Era
Kumar Amitesh, TCS BPS, North America
Tata Logo
  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
2:40pm-3:25pm Energy analytics - big data digital oil fields Uplift Modeling Financial TrackDebt Collection Optimization
Case Study: HalliburtonAll level tracks
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
3:25-3:55pm Exhibits & Afternoon Break
Room: Commonwealth Hall
  Track 1: All Levels
Room: Harborview 1
Track 2: Expert/Practitioners
Room: Amphitheater
Track 3: Financial Services
Room: Harborview 2
  Bid Optimization (for construction) Ad & Marketing Analytics Financial TrackInsurance; Analytics strategy
3:55-4:40pm Case Study: A construction contractorAll level tracks
"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 Financial TrackForming an Analytics Team
4:45-5:05pm Case Study: Top 500 Internet Retailer in the U.S.All level tracks
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
All level tracks
Rick Chin, SolidWorks
Kimberly Scott, Elder Research, Inc.
5:30-7:00pm Networking Reception • Room: Commonwealth Hall
Sponsored by:
Tata Logo

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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)
8:00-8:45am Registration & Networking Breakfast
Room: Commonwealth Hall
8:45-9:30am
Keynote • Room: Amphitheater
Case Study: SmarterHQ
The Revolution in Retail Customer Intelligence
Dean Abbott, SmarterHQ
9:30-9:40am Plenary Session • Room: Amphitheater
Industry Trends: Highlights from the 2015 Data Miner Survey
Karl Rexer, Rexer Analytics
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
Oracle
  Track 1: All Levels
Moderator: Dave Dimas
Room: Harborview 1
Track 2: Expert/Practitioners
Moderator: Scott Lancaster
Room: Amphitheater
10:05am-10:50am Education Analytics & Personalized Learning Open Data Sources
Case Study: McGraw Hill EducationAll level tracks
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
10:50-11:15am Exhibits & Morning Coffee Break
Room: Commonwealth Hall
  Financial TrackWorkforce Analytics Best Practices
11:15-12:00pm Case Study: PaychexAll level tracks
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
12:00-1:30pm Lunch in Exhibit Hall
Room: Commonwealth Hall
1:30-2:15pm
Keynote • Room: Amphitheater
Data Science at The New York Times
Christopher Wiggins, The New York Times
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
  Track 1: All Levels
Moderator: Kimberly Scott
Room: Harborview 1
Track 2: Expert/Practitioners
Moderator: Herman Jopia
Room: Amphitheater
3:30-4:15pm Financial TrackAnalytics for Project Management Workforce Analytics
Case Study: State Street
Predictive Analytics for Project Management--Cost Avoidance
All level tracks
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.
  Experimental Design Marketing; Advanced Methods
4:20-4:40pm Case Study: Perion
Networks
All level tracks

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.
  Analytics for Strategy
4:45-5:05pm Driving Strategy Execution Using
Big Data Analytics
All level tracks

Mohamed Guidoum, AIMS (EAU)
 
5:30-7:30pm Big Data Analytics Meetup: Embed Analytics Everywhere
Thomas Hill, Dell Statistica Software, Information Management Group

Post-Conference Workshop: Wednesday, September 30, 2015
Full-day Workshop • Room: Harborview 1
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: Beacon
Supercharging Prediction with Ensemble Models
Dean Abbott, Abbott Analytics
Full-day Workshop • Room: Harborview 2
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:

Post-Conference Workshop: Thursday, October 1, 2015
Full-day Workshop • Room: Beacon
Advanced Methods Hands-on: Predictive Modeling Techniques
Dean Abbott, Abbott Analytics
Sponsored by:

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