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

Dates: October 19-20, 2010
Location: Washington, DC

Predictive Analytics World (pawcon.com) 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

The Top Experts

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, YMCA, 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.

Join PAW and access the best keynotes, sessions, exposition, expert
panel, live demos, networking coffee breaks, reception, birds-of-a-
feather lunches, leading brand-name enterprise leaders, and industry
heavyweights in the business.

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.
http://www.predictiveanalyticsworld....ng_methods.php

"Hands-On Predictive Analytics"
Instructor: Dean Abbott, President, Abbott Analytics
http://www.predictiveanalyticsworld...._analytics.php

"Driving Enterprise Decisions with Business Analytics and Business
Rules"
Instructor: James Taylor, CEO, Decision Management Solutions
http://www.predictiveanalyticsworld....ytics_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: Predicatively
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

"Hands down, best applied, analytics conference I have ever attended.
Great exposure to cutting-edge predictive techniques and I was able to
turn around and apply some of those learnings to my work immediately.
I've never been able to say that after any conference I've attended
before!"

Jon Francis
Senior Statistician
T-Mobile

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

People Who Need People

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, coffee breaks and the conference
reception connecting with those professionals who face the same
challenges as you

Get Started

If you're new to predictive analytics, kicking off a new initiative,
or exploring new ways to position it at your organization, there's no
better place to get your bearings than Predictive Analytics World.
See what other companies are doing, witness vendor demos, participate
in discussions with the experts, network with your colleagues and
weigh your options!

For more information, see:
www.predictiveanalyticsworld.com

For a complete overview of the conference agenda, see:
http://www.predictiveanalyticsworld....a_overview.php

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: GOO150

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

If you'd like our informative event updates, sign up at:
http://www.predictiveanalyticsworld....ifications.php
To sign up for the PAW group on LinkedIn, see:
www.linkedin.com/e/gis/1005097

For inquiries e-mail registration (AT) predictiveanalyticsworld (DOT) com or call
717-798-3495.