Conference: Predictive Analytics World 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. Highlights include:

Business Value

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

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

  • Case Study: Monster.com
  • Case Study: Ingram Micro

Response & Cross-Sell

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

  • Case Study: Paychex

Social Data (including Fraud Detection)

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

  • Thought Leadership

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

  • Case Study: 1-800 Flowers

Text Mining (including Fraud Detection)

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

  • Case Study: MetLife

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

  • Case Study: Xerox PARC

Survey Analysis

Roxana Strohmenger, Forrester Research – Making Survey Insights Addressable and Scalable – The Case Study of Forrester’s Technographics® Benchmark Survey

  • Case Study: Forrester

Customer Value

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

  • Case Study: SunTrust

Segmentation

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

  • Practitioner: Canadian Imperial Bank of Commerce

Healthcare

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

  • Case Study: Life Line Screening

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

  • Case Study: UPMC Health Plan

Sales Force Optimization

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

  • Case Study: Corporate Executive Board

Privacy

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

  • Thought Leadership

Catalog Retailer

Ryan Hennig, Miles Kimball – Miles Kimball Optimizes Marketing Decisions

  • Case Study: Miles Kimball

PAW Attendee Statement:

"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 Super Early Bird rate (a $200 saving):

Register Now

Sign up for the PAW group on LinkedIn.

Follow PAW on Twitter.