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Announcing: Predictive Analytics World, Oct. 20-21 in Washington DC

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  • predictiveanalyticsworld
    Hi everyone, I wanted to make sure you know about the next Predictive Analytics World conference, Oct. 20-21 in Washington DC (www.pawcon.com). ... Predictive
    Message 1 of 1 , Oct 1, 2009
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      Hi everyone,

      I wanted to make sure you know about the next Predictive Analytics World conference, Oct. 20-21 in Washington DC (www.pawcon.com).

      -----------------------------

      Predictive Analytics World is the business-focused event for predictive analytics professionals, managers and commercial practitioners, covering today's commercial deployment of predictive analytics, across industries and across software vendors. The conference delivers case studies, expertise and resources to achieve two objectives:

      1) Bigger wins: Strengthen the business impact delivered by predictive analytics

      2) Broader capabilities: Establish new opportunities with predictive analytics


      PAW's October 2009 program is packed with the top predictive analytics experts, practitioners, authors and business thought leaders, including keynote speakers Stephen Baker (author of The Numerati and Senior writer at BusinessWeek), Usama Fayyad, Ph.D. (CEO, Open Insights and formerly Yahoo!'s Chief Data Officer and Executive Vice President), and Program Chair Eric Siegel, Ph.D. (President of Prediction Impact and former Columbia University professor).


      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-09 will have 25 sessions across two tracks, so you can witness how predictive analytics is applied at Aflac, Amway, Citizens Bank, The Coca-Cola Company, Financial Times, Hewlett-Packard, Infinity Insurance, IRS, Lifeline Screening, National Center for Dropout Prevention, The National Rifle Association, The New York Times, Optus (Australian telecom), PREMIER Bankcard, Reed Elsevier, Sprint-Nextel, Sunrise Communications (Switzerland), Target, US Bank, U.S. Department of Defense, Walden University, Zurich -- plus special examples from Anheuser-Busch, Disney, HSBC, Pfizer, Social Security Administration, WestWind Foundation and others.


      Workshops

      Three pre- and post-event workshops complement the core conference program:

      "The Best and the Worst of Predictive Analytics: Predictive Modeling Methods and Common Data Mining Mistakes"
      Instructor: John F. Elder, Ph.D., CEO and Founder, Elder Research, Inc.
      www.predictiveanalyticsworld.com/dc/2009/predictive_modeling_methods.php

      "Hands-On Predictive Analytics"
      Instructor: Dean Abbott, President, Abbott Analytics
      www.predictiveanalyticsworld.com/dc/2009/handson_predictive_analytics.php

      "Putting Predictive Analytics to Work"
      Instructor: James Taylor, CEO, Decision Management Solutions
      www.predictiveanalyticsworld.com/dc/2009/predictive_analytics_work.php


      Cross-Industry Applications

      Predictive Analytics World is the only conference of its kind, delivering vendor-neutral sessions across verticals such as banking, financial services, e-commerce, education, government, healthcare, high technology, insurance, non-profits, publishing, retail and telecommunications.

      And PAW covers the gamut of commercial applications of predictive analytics, including response modeling, customer retention with churn modeling, product recommendations, fraud detection, online marketing optimization, behavior-based advertising, insurance pricing, sales forecasting, text mining and credit scoring.

      Why bring together such a wide range of endeavors? No matter how you use predictive analytics, the story is the same: Predictively scoring customers optimizes business performance. Predictive analytics initiatives across industries leverage the same core predictive modeling technology, share similar project overhead and data requirements, and face common process challenges and analytical hurdles.


      Rave Reviews

      February's inaugural Predictive Analytics World was an acclaimed success, with over 200 attendees from 12 countries witnessing case studies from over 20 named companies that represent 11 industries. Excitement and buzz ran high as participants learned how to improve efficiency and optimize across more than 10 business applications of predictive analytics.

      "Predictive Analytics World was probably the best analytics conference I have attended, from a knowledge point of view, in a long time...[and] turned into my new must-go-to conference."

      Dennis R. Mortensen
      Director of Data Insights
      Yahoo!

      Read more: Articles and blog entries about February's PAW can be found at www.predictiveanalyticsworld.com/pressroom.php


      Vendors.

      * Meet the vendors and learn about their solutions, software and services
      * Discover the best predictive analytics vendors available to serve your needs
      * Learn what they do and see how they compare

      Colleagues.

      * Mingle, network and hang out with your best and brightest colleagues
      * Exchange experiences over lunch, breaks and the conference reception, connecting with those professionals who face the same challenges as you


      For more information, see:
      www.predictiveanalyticsworld.com

      What is predictive analytics? See the Predictive Analytics Guide:
      www.predictiveanalyticsworld.com/predictive_analytics.php

      If you'd like our informative event updates, sign up at:
      www.predictiveanalyticsworld.com/notifications.php

      To sign up for the PAW group on LinkedIn, see:
      www.linkedin.com/e/gis/1005097

      For inquiries, e-mail us at registration@... or call (866) 223-2579.


      Let us know if you have any questions!

      Thanks --Elise Johnson, Predictive Analytics World
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