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Agenda Overview – New York – October 16-21, 2011
All level tracks Track 1 sessions are for all levels.
Track 2 sessions are expert/practitioner level.
Financial Track Track 3 sessions cover Financial Services Applications.
Pre-Conference Workshop: Sunday, October 16, 2011
Half-Day Workshop
R Bootcamp: for Newcomers to R
Max Kuhn, Director, Nonclinical Statistics, Pfizer
Room: Madison

 

Pre-Conference Workshops: Monday, October 17, 2011
Full-day Workshop
Predictive Analytics: Fundamentals and Use Cases
Piyanka Jain, CEO, Aryng.com
Puneet Sharma, Senior Manager, PayPal
Angoss
Room: Clinton
Full-day Workshop
R for Predictive Modeling: A Hands-On Introduction
Max Kuhn, Director, Nonclinical Statistics, Pfizer
Room: Madison

 

Pre-Conference Workshops: Tuesday, October 18, 2011
Full-day Workshop
Driving Enterprise Decisions with Business Analytics
James Taylor, CEO, Decision Management Solutions
Room: Madison
Full-day Workshop
Hands-On Business Analytics: Insights to Impact
Piyanka Jain, CEO, Aryng.com
Puneet Sharma, Senior Manager, PayPal
Room: Clinton
Full-day Workshop
Hands-On Predictive Analytics with SAS Enterprise Miner
Dean Abbott, President, Abbott Analytics

Room: Mercury Ballroom

DAY 1: Wednesday October 19, 2011
7:30am-9:00am Registration & Breakfast
9:00am-9:45am
Keynote
Persuasion by the Numbers: Optimize Marketing Influence by Predicting It
Eric Siegel, Ph.D., Program Chair, Predictive Analytics World
Room: Gramercy
9:45am-10:05am Diamond Sponsor Presentation
Speeding Up Exploration

John Sall, SAS

Room: Gramercy
10:05am-10:45am Break / Exhibits
  Track 1 All Levels Track 2 Expert/Practitioner Track 3 on Financial Services
  Insurance Applications Survey Analysis Financial Track e-Commerce:
Thought Leadership
10:45am-11:05am Case Study: Infinity Insurance
Next Generation Claims Systems
James Taylor, Decision Management Solutions
Room: Gramercy B
Case Study: YMCA
Turning Member Satisfaction Surveys into an Actionable Narrative
Dean Abbott, Abbott Analytics &
Bill Lazarus, Seer Analytics, LLC
Room: Gramercy A
Case Study:
PayPal / eBay
All level tracks
Putting Predictive Analytics into Context: The Analytics Value Chain
Piyanka Jain, Aryng.com & Puneet Sharma, PayPal
Room: Murray Hill A
 
11:10am-11:30am Gold Sponsored Presentations
Room: Gramercy B
11:35am-12:20pm Special Plenary Session
The Future of Targeting and On-Line Marketing –
Predictive Analytics on Big Data

Usama Fayyad, Chairman & CTO of ChoozOn, Former Chief Data Officer, Yahoo!
Room: Grand Ballroom
12:20pm-12:35pm Lightning Round of 2-minute Vendor Presentations
Room: Grand Ballroom
12:35pm-1:35pm Birds of a Feather Lunch / Exhibits
  Track 1 All Levels Track 2 Expert/Practitioner Track 3 on Financial Services
  Thought Leadership Demand Forecasting Financial TrackRisk Management
1:35pm-1:55pm Case Study: LinkedIn
Data Science at LinkedIn: Iterative, Big Data Analytics and You

Manu Sharma, LinkedIn
Room: Gramercy B
Case Study: Cox Communications
What Happens Next? Automated Smart Demand Forecasting
Bob Wood, Cox Communications
Room: Gramercy A
Case Study: ACE Cash ExpressAll level tracks
Credit Risk Analytics Framework for Subprime Loans
Senthil Ramanath, ACE Cash Express
Room: Murray Hill A
  Forecasting (Per-Product); Retail Financial TrackDirect Marketing New Products
2:00pm-2:20pm Case Study: A Top Global Retailer
Broad Scale Predictive Modeling Optimization in Marketing and Retail Sales
Felipe Fernandez, Interefe (Brazil)
Room: Gramercy A
Case Study: A Top 5 International BankExpert level tracks
Product Testing in Financial Services: Financial Analytics
Dinabandhu Bag, National Institute of Technology, India
Room: Murray Hill A
2:25pm-3:10pm
Keynote
Building Watson – An Overview of the DeepQA Project
David C. Gondek, IBM Technical Lead, Watson Knowledge Capture and Learning and Healthcare Adaptation, IBM Research
Room: Grand Ballroom
3:10pm-3:30pm Diamond Sponsor Presentation
The Analytical Revolution

Colin Shearer, IBM

Room: Grand Ballroom
3:30pm-3:40pm Industry Trends
2011 Data Miner Survey Results: Highlights
Karl Rexer, Rexer Analytics
Room: Grand Ballroom
3:40pm-4:15pm Break / Exhibits
  Track 1 All Levels Track 2 Expert/Practitioner Track 3 on Financial Services
  Crowdsourcing Data Mining; Healthcare Lab Session Financial TrackUplift Modeling
4:15pm-5:00pm Case Study: Kaggle
Predictive Modeling Competitions and the Heritage Health Prize
Anthony Goldbloom, Kaggle
Room: Gramercy B
Lab Session:
Live Topical Demo

Making Predictive Models Count
Kaiser Fung, Author & Sirius XM Radio

Room: Gramercy A
Speaker from: FidelityAll level tracks
True-Lift Modeling: Mining for the Most Truly Responsive Customers & Prospects
Kathleen Kane, Fidelity
Room: Murray Hill A
5:00pm-5:25pm Break / Exhibits
  Risk Modelling Market Mix Modeling All level tracksSurvey Analysis & Churn
Risk Detection
5:25pm-5:45pm
Rethinking Analytic Solutions: Modeling Catastrophic Risk
Shajy Mathai, OpenRisk
Room: Gramercy B
Case Study
Methods for Market Mix Modeling Explained
Donald Cozine, ANALYTICi
Room: Gramercy A
Case Study: PayPal
Identifying Customers Who Expressed Intend-to-Churn or Defect from Large Number of Surveyed Verbatim
Han Sheong Lai, PayPal
Room: Regent
  Crowdsourcing Data
Mining; Retail
All level tracksFinancial Indicators from Social Media
5:50pm-6:10pm Case Study: Overstock.com
The RecLab $1 Million Prize on Overstock.com: Driving Innovation with Live Data
in the Cloud

Sean Pfister,
RichRelevance,
Room: Gramercy A

Social Media Analysis for Market Prediction: Collective Mood States and the Wisdom Crowds

Johan Bollen,
Indiana University
Room: Regent
6:10pm-7:30pm Reception / Exhibits
  Local Group Meeting: NYC Predictive Analytics
7:30pm-10:00pm Session brought to you by NYC Predictive Analytics
Bayesians, Frequentists, and Big Data: Musings on Statistics in the 21st Century
John W. Emerson, Associate Professor, Yale University
Room: Gramercy

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DAY 2: Thursday October 20, 2011
8:00am-9:00am Registration & Breakfast
9:00am-9:45am Expert Panel:
Wise Enterprise: Best Practices for Managing Predictive Analytics

Wayne Thompson, SAS, Colin Shearer, IBM & Dean Abbott, Abbott Analytics
Room: Gramercy
9:45am-10:05am Platinum Sponsor Presentation
Forensic Analytics and Continuous Monitoring: Leveraging Predictive Analytics

Jennifer Boyce, Deloitte Financial Advisory Services

Room: Gramercy
10:25am-10:55am Break / Exhibits
  Track 1 All Levels Track 2 Expert/Practitioner Track 3 on Financial Services
  Integrating Tools Fraud Detection Financial TrackMobile Analytics
10:55am-11:15am Case Study: Travelers Insurance
Creating more Analytical Bandwidth with R
Matthew Flynn, Travelers Insurance
Room: Gramercy B
Case Study: U.S. Postal Service Office of Inspection General
Fighting the Good Fraud Fight
Antonia de Medinaceli, Elder Research, Inc.
Room: Gramercy A
Case Study: CitibankAll level tracks
Predictive Analytics in Customer Digital Payments
Ramendra Sahoo, Citibank
Room: Murray Hill A
  Mobile Analytics & Search Lab Session Financial TrackFraud Detection
11:20am-11:40am Case Study: Microsoft
Mobile Search Advertising & the Importance of Data
in Understanding
Customer Intent

Will Dannenberg, Microsoft &
Mukund Raghunath, Mu Sigma
Room: Gramercy B
Lab Session:
Live Topical Demo

Social Network Analytics Using Influence to drive a better Customer Experience
Shilpa Lawande, Vertica, An HP Company
Vertica
Room: Gramercy A
Case Study:
A Major Regional Bank
All level tracks
Business Case Development for Credit and Debit Card Fraud Re-Scoring Models
Kurt Gutzmann, GCX Advanced Analytics LLC
Room: Murray Hill A
11:45am-12:30pm
Special Plenary Session – Case Studies: Anheuser-Busch, the SSA, Netflix
Data Mining Lessons Learned - Technical & Business - From Applied Projects
John Elder, CEO & Founder, Elder Research, Inc.
Room: Grand Ballroom
12:30pm-1:30pm Birds of a Feather Lunch / Exhibits
1:30pm-2:15pm
Keynote
Everyday Analytics: Making Leading Edge Pervasive
Thomas Davenport, President's Distinguished Professor, Babson College, Author, Competing on Analytics: The New Science of Winning
Room: Grand Ballroom
2:15pm-3:00pm Break / Exhibits
  Track 1 All Levels Track 2 Expert/Practitioner Track 3 on Financial Services
  Lab Session Law Enforcement Financial TrackRetention with
Churn Modeling
3:00pm-3:20pm Lab Session:
Live Topical Demo

The Analytic Advantage: How Banks Can Profit from Customer Insight

Valerie Hyde, IBM

IBM

Room: Gramercy B
Case Study: CMPDpractitioner level
Law Enforcement Analytics Solution Helps Identify Potential Criminal Activity
Robert Broughton, Charlotte-Mecklenburg Police Department
Room: Gramercy A
Speaker from:
GE Capital
All level tracks
Using Segmentation and Predictive Analytics to Reduce Customer Attrition
David Liebskind, GE Capital
Room: Murray Hill A
  Law: Forecasting for a Legal Defense
3:25pm-3:45pm Case Study: A Significant Legal Casepractitioner level
Major Litigation Strongly Supported by Fuzzy Reasoning
DL vonKleeck, vK Systems, Inc.
Room: Gramercy A
3:45pm-4:30pm Break / Exhibits
  Track 1 All Levels Track 2 Expert/Practitioner Track 3 on Financial Services
  Retention with Churn Modeling Social Data Financial TrackBlack Box Trading
4:30pm-4:50pm Case Study: Paychex, Inc.all levels
Combat Client Churn with Predictive Analytics
Frank Fiorille, Paychex, Inc. &
Erika McBride, Paychex, Inc.
Room: Gramercy B
Case Study: Match.compractitioner level
Search and Social: Intelligent Matching at Match.com
Amarnath Thombre, Match.com
Room: Gramercy A
Case Study:
Rebellion Research
All level tracks
Humans, Rules & Machine Learning: Three Prediction Paradigms
Spencer Greenberg, Rebellion Research
Room: Murray Hill A
  Supply Chain Management Social Data: Advanced Methods
4:55pm-5:15pm Case Study: United Group Holdingsall levels
Value Proposition Segmentation (VPS) Method
Amjad Zaim, Cognitro Analytics
Room: Gramercy B
Network Maps for End Users: Collect, Analyze, Visualize and Communicate Network Insights with Zero Codingpractitioner level
Marc A. Smith, Connected Action Consulting Group
Room: Gramercy A

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Post-Conference Workshops: Friday, October 21, 2011
Full-day Workshop
Hands-On Introduction to Text Analytics with IBM SPSS
Tim Daciuk, Business Development Manager, Advanced Analytics,
IBM
IBM
Room: Off-Site
Full-day Workshoppractitioner level
The Best and the Worst of Predictive Analytics:
Predictive Modeling Methods and Common Data Mining Mistakes

John Elder,
CEO & Founder,
Elder Research, Inc.
Room: Nassau B
Full-day Workshoppractitioner level
Deploying User-Friendly Predictive Analytics: Delivering Results to Business Users with Interactive Applications
Jeff Mergler,
Lead Statistical Applications Trainer,
TIBCO Spotfire
TIBCO
Room: Nassau A

*Rooms are subject to change

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