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

October 19-20, 2010, 9:00 AM to 5:00 pm

PAW's October 2010 program is packed with the top predictive analytics experts, practitioners, authors and business thought leaders, including keynote speakers Piyanka Jain of PayPal, Andrew Pole of Target and Program Chair Eric Siegel, Ph.D. -- plus special sessions from industry heavy-weights Usama Fayyad, Ph.D. and John F. Elder, Ph.D.

Case Studies: How the Leading Enterprises Do It

Predictive Analytics World focuses on concrete examples of deployed predictive analytics. Hear from the horse's mouth precisely how Fortune 500 analytics competitors and other top practitioners deploy predictive modeling, and what kind of business impact it delivers.

And the leading enterprises have responded, signing up to tell their stories. PAW's October program includes over 25 sessions across two tracks - an "All Audiences" and an "Expert/Practitioner" track -- so you can witness how predictive analytics is applied at 1-800-FLOWERS, CIBC, Corporate Executive Board, Forrester, Ingram Micro, LifeLine, MetLife, Miles Kimball, Monster, Paychex, PayPal (eBay), SunTrust, Target, UPMC Health Plan, Xerox, and Yahoo!, plus special examples from the U.S. government agencies DoD, DHS, and SSA.

October's agenda covers hot topics and advanced methods such as social data, text mining, search marketing, risk management, survey analysis, consumer privacy, sales force optimization and other innovative applications that benefit organizations in new and creative ways.

For more information, see:
www.predictiveanalyticsworld.com

Be sure to register by September 10th for the Early Bird rate (save $200):
www.predictiveanalyticsworld.com/register.php

Save more with this posting's promotional offer: Take an additional $150 off the Early Bird - a total savings of $350 - or the regular registration fee with this registration discount code: FUL150

For inquiries e-mail [email protected] or call (717) 798-3495.

Official Website: http://www.predictiveanalyticsworld.com