PAW Washington DC, Oct 19-20, 2010

Predictive Analytics World DC - Agenda Overview

Predictive Analytics World's conference program for October 19-20 2010, Washington, DC is another deep exploration of leading-edge methods and hot topics. KDNuggets readers receive an extra 10% discount if you register by July 27, using promo code "KDN10"! Program highlights include:

Practitioner & Expert Keynotes

Piyanka Jain, Senior Manager, Global Product Analytics, Paypal
Putting Predictive Analytics into Context: The Analytics Value Chain

Andrew Pole, Senior Manager, Guest Analytics, Target
How Target Gets the Most out of Its Guest Data to Improve Marketing ROI

Eric Siegel, Ph.D., Conference Chair, Predictive Analytics World
Five Ways Predictive Analytics Cuts Enterprise Risk
 

PAW's agenda features two tracks - "All Levels" and "Expert/Practitioner" - of in-depth sessions covering topics such as:

Business Value

• Case Study: Monster.com

  Jean Paul Isson, Monster Worldwide - Creating Global Competitive Power with Predictive Analytics

• Case Study: Ingram Micro

  Susan Chiu, Ingram Micro - How Ingram Micro Utilizes Predictive Analytics to Enhance Its Marketing Bottom Line and Profitability

Response & Cross-Sell

• Case Study: Paychex

  Jason Fox, Paychex - Staying One Step Ahead of the Competition - Development of a Predictive 401(k) Marketing and Sales Campaign

Social Data (including Fraud Detection)

• Thought Leadership

  James Kobielus, Forrester Research - Social Network Analysis: Killer Application for Cloud Analytics

• Case Study: 1-800 Flowers

  Auren Hoffman, Rapleaf - Leveraging Social Media Data to Manage Fraud Risk

Survey Analysis

• Case Study: Forrester

  Roxana Strohmenger, Forrester Research - Making Survey Insights Addressable and Scalable - The Case Study of Forrester's Technographics® Benchmark Survey

Customer Value

• Case Study: SunTrust

  Dudley Gwaltney, SunTrust Bank - When One Model Will Not Solve the Problem - Using Multiple Models to Create One Solution

Segmentation

• Practitioner: Canadian Imperial Bank of Commerce

  Daymond Ling, Canadian Imperial Bank of Commerce - Segmentation Do's and Don'ts

Text Mining (including Fraud Detection)

• Case Study: MetLife

  David McMichael, MetLife Auto & Home - Fighting Fraud with Text Mining at MetLife Auto & Home

• Case Study: Xerox PARC

  Bo Begole, Palo Alto Research Center, Inc. (a Xerox Company) & Lawrence Lee, Palo Alto Research Center, Inc. (a Xerox Company) - Exploiting Unstructured Data Sources for Predictive Applications

Healthcare

• Case Study: Life Line Screening

  Ozgur Dogan, Merkle Inc. & Trish Mathe, Life Line Screening - Taking CRM Global Through Predictive Analytics

• Case Study: UPMC Health Plan

  Scott Zasadil, UPMC Health Plan - A Predictive Model for Hospital Readmissions

Sales Force Optimization

• Case Study: Corporate Executive Board

  Nancy Hersh, Corporate Executive Board - Enhancing Sales Force Effectiveness with Predictive Analytics

Privacy

• Thought Leadership

  Ari Schwartz, Vice President and Chief Operating Officer, Center for Democracy and Technology (CDT) - Myths About Privacy: How Analytics and Privacy Can Live At Peace

Catalog Retailer

• Case Study: Miles Kimball

  Ryan Hennig, Miles Kimball - Miles Kimball Optimizes Marketing Decisions

Plus Special Plenary Sessions from Industry Heavy-weights:

John F. Elder Ph.D.,
CEO and Founder,
Elder Research, Inc.
Text Mining: Lessons Learned

Usama Fayyad Ph.D.,
CEO, Open Insights
Former Chief Data Officer, Yahoo!
Search Marketing and Predictive Analytics

PAW Attendee Comment

"I came to PAW because it provides case studies relevant to my industry. It has lived up to the expectation and I think it's the best analytics conference I've ever attended!"

Shaohua Zhang
Senior Data Mining Analyst
Rogers Telecommunications

Be sure to register by Sept. 10th for the Early Bird rate (a $200 saving)

Sign up for the PAW group on LinkedIn.

Follow PAW on Twitter.

Predictive Analytics World
October 19-20, 2010 - Washington DC
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