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 ![]() 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 |
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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 |
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9:45am-10:05am | Diamond Sponsor Presentation Speeding Up Exploration John Sall, SAS ![]() Room: Gramercy |
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10:05am-10:45am | Break / Exhibits |
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Track 1 All Levels | Track 2 Expert/Practitioner | Track 3 on Financial Services | |
Insurance Applications | Survey Analysis | ![]() Thought Leadership |
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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 ![]() 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![]() ![]() |
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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 |
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12:20pm-12:35pm |
Lightning Round of 2-minute Vendor Presentations Room: Grand Ballroom |
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12:35pm-1:35pm |
Birds of a Feather Lunch / Exhibits |
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Track 1 All Levels | Track 2 Expert/Practitioner | Track 3 on Financial Services | |
Thought Leadership | Demand Forecasting | ![]() |
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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 Express![]() Credit Risk Analytics Framework for Subprime Loans Senthil Ramanath, ACE Cash Express Room: Murray Hill A |
Forecasting (Per-Product); Retail | ![]() |
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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 Bank![]() Product Testing in Financial Services: Financial Analytics Dinabandhu Bag, National Institute of Technology, India Room: Murray Hill A |
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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 |
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3:10pm-3:30pm | Diamond Sponsor Presentation The Analytical Revolution Colin Shearer, IBM ![]() Room: Grand Ballroom |
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3:30pm-3:40pm | Industry Trends 2011 Data Miner Survey Results: Highlights Karl Rexer, Rexer Analytics Room: Grand Ballroom |
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3:40pm-4:15pm | Break / Exhibits |
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Track 1 All Levels | Track 2 Expert/Practitioner | Track 3 on Financial Services | |
Crowdsourcing Data Mining; Healthcare | Lab Session | ![]() |
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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: Fidelity![]() True-Lift Modeling: Mining for the Most Truly Responsive Customers & Prospects Kathleen Kane, Fidelity Room: Murray Hill A |
5:00pm-5:25pm | Break / Exhibits |
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Risk Modelling | Market Mix Modeling | ![]() Risk Detection |
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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 |
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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 |
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6:10pm-7:30pm | Reception / Exhibits | ||
Local Group Meeting: NYC Predictive Analytics | |||
7:30pm-10:00pm |
![]() Bayesians, Frequentists, and Big Data: Musings on Statistics in the 21st Century John W. Emerson, Associate Professor, Yale University Room: Gramercy |
DAY 2: Thursday October 20, 2011 | |||
8:00am-9:00am | Registration & Breakfast |
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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 |
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9:45am-10:05am | Platinum Sponsor Presentation Forensic Analytics and Continuous Monitoring: Leveraging Predictive Analytics Jennifer Boyce, Deloitte Financial Advisory Services ![]() Room: Gramercy |
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10:25am-10:55am | Break / Exhibits |
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Track 1 All Levels | Track 2 Expert/Practitioner | Track 3 on Financial Services | |
Integrating Tools | Fraud Detection | ![]() |
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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: Citibank![]() Predictive Analytics in Customer Digital Payments Ramendra Sahoo, Citibank Room: Murray Hill A |
Mobile Analytics & Search | Lab Session | ![]() |
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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 ![]() Room: Gramercy A |
Case Study: A Major Regional Bank ![]() 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 |
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12:30pm-1:30pm | Birds of a Feather Lunch / Exhibits |
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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 |
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2:15pm-3:00pm | Break / Exhibits |
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Track 1 All Levels | Track 2 Expert/Practitioner | Track 3 on Financial Services | |
Lab Session | Law Enforcement | ![]() Churn Modeling |
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3:00pm-3:20pm | Lab Session: Live Topical Demo The Analytic Advantage: How Banks Can Profit from Customer Insight ![]() Valerie Hyde, IBM ![]() Room: Gramercy B |
Case Study: CMPD![]() Law Enforcement Analytics Solution Helps Identify Potential Criminal Activity Robert Broughton, Charlotte-Mecklenburg Police Department Room: Gramercy A |
Speaker from: GE Capital ![]() 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 Case![]() Major Litigation Strongly Supported by Fuzzy Reasoning DL vonKleeck, vK Systems, Inc. Room: Gramercy A |
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3:45pm-4:30pm | Break / Exhibits |
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Track 1 All Levels | Track 2 Expert/Practitioner | Track 3 on Financial Services | |
Retention with Churn Modeling | Social Data | ![]() |
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4:30pm-4:50pm | Case Study: Paychex, Inc.![]() Combat Client Churn with Predictive Analytics Frank Fiorille, Paychex, Inc. & Erika McBride, Paychex, Inc. Room: Gramercy B |
Case Study: Match.com![]() Search and Social: Intelligent Matching at Match.com Amarnath Thombre, Match.com Room: Gramercy A |
Case Study: Rebellion Research ![]() 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 Holdings![]() 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 Coding![]() Marc A. Smith, Connected Action Consulting Group Room: Gramercy A |
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 ![]() Room: Off-Site |
Full-day Workshop![]() 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 Workshop![]() Deploying User-Friendly Predictive Analytics: Delivering Results to Business Users with Interactive Applications Jeff Mergler, Lead Statistical Applications Trainer, TIBCO Spotfire ![]() Room: Nassau A |
*Rooms are subject to change