Mark your calendars for Predictive Analytics World March 2011
Conference in San Francisco. More information below.

Predictive Analytics World - March 2011 in San Francisco

Predictive Analytics World - San Francisco, DC, London

March 14-15, 2011 - San Francisco, CA (pawcon.com/sanfrancisco)

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

PAW's program is packed with the top predictive analytics experts,
practitioners, authors and business thought leaders, including a
keynote address from Google's Sugato Basu and special sessions from
industry heavy-weights such as Andreas Weigend and John Elder.

Case Studies: How the Leading Enterprises Do It

Predictive Analytics World focuses on concrete examples of deployed
predictive analytics. The leading enterprises have signed up to tell
their stories, so you can 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.

PAW's San Francisco 2011 program is the richest and most diverse yet,
including over 40 sessions across two tracks - an "All Audiences" and
an "Expert/Practitioner" track -- so you can witness how predictive
analytics is applied at Bank of America, Bank of the West, Best Buy,
CA State Automobile Association, Cerebellum Capital, Chessmetrics,
Fidelity, Gaia Interactive, Google, Hewlett Packard, ICICI Bank
(India), Monster.com, Orbitz, PayPal/eBay, Richmond, VA Police Dept,
U. of Melbourne, Yahoo!, YMCA, and a major N. American telecom, plus
insights from projects for Anheiser-Busch, the SSA, and Netflix.

PAW's agenda covers hot topics and advanced methods such as uplift
modeling (net lift), ensemble models, social data (6 sessions on
this), search marketing, crowdsourcing, blackbox trading, fraud
detection, risk management, survey analysis, and other innovative
applications that benefit organizations in new and creative ways.

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

WORKSHOPS. PAW also features pre- and post-conference workshops that
complement the core conference program. Workshop agendas include
advanced predictive modeling methods, hands-on training and enterprise
decision management.

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, social gaming,
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, human resource decision-making, law enforcement, sales
forecasting, 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 PAW can be found at
www.predictiveanalyticsworld.com/pressroom.php

VENDORS. Meet the vendors and learn about their solutions, software
and service. 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:
www.predictiveanalyticsworld.com/sanfrancisco

View the agenda at-a-glance:
http://www.predictiveanalyticsworld....a_overview.php

Register by Dec 7 for the Super Early Bird rate (save $400):
http://www.predictiveanalyticsworld....o/register.php

Register by Jan 31 for the Early Bird rate (save $200):
http://www.predictiveanalyticsworld....o/register.php

Save more with this posting's promotional offer: Take an additional
$150 off the Early Bird or the Advance 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.com/signup-us.php

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

For inquiries e-mail regsupportatrisingmediadotcom or call (717)
798-3495.

Predictive Analytics World
San Francisco - Washington DC – London