Predictive Analytics World Conference –New York City and London, UK

Please use the following code  to get a 15% discount on the 2 Day Conference Pass:  AJAYNY11.

Predictive Analytics World Conference –New York City and London, UK

October 17-21, 2011 – New York City, NY (
Nov 30 – Dec 1, 2011 – London, UK (

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

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 NYC program is the richest and most diverse yet, featuring over 40 sessions across three tracks
– including both X and Y tracks, and an “Expert/Practitioner” track — so you can witness how predictive
analytics is applied at major companies.

PAW NYC’s agenda covers hot topics and advanced methods such as ensemble models, social data,
search marketing, crowdsourcing, blackbox trading, fraud detection, risk management, survey analysis,
and other innovative applications that benefit organizations in new and creative ways.

WORKSHOPS: PAW NYC also features five full-day pre- and post-conference workshops that
complement the core conference program. Workshop agendas include advanced predictive modeling
methods, hands-on training, an intro to R (the open source analytics system), and enterprise decision

For more see


PAW London’s agenda covers hot topics and advanced methods such as risk management, uplift
(incremental lift) modeling, open source analytics, and crowdsourcing data mining. Case study
presentations cover campaign targeting, churn modeling, next-best-offer, selecting marketing channels,
global analytics deployment, email marketing, HR candidate search, 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.

For more see


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.


“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

Read more: Articles and blog entries about PAW can be found at

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

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:

View videos of PAW Washington DC, Oct 2010 — now available on-demand:

What is predictive analytics? See the Predictive Analytics Guide:

If you’d like our informative event updates, sign up at:

To sign up for the PAW group on LinkedIn, see:

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

Contest for SAS Users and Students

Heres a new contest for SAS users. The prizes are books, so students should be interested as well.


HOW TO ENTER: To qualify for entry, go to the web site located at
between April 11, 2011 and May 9, 2011 and either add or edit valid content as described herein to earn award points.
Creation of a first time profile on will earn 1,000 points. For each valid article creation or edit, 100
points will be earned. Articles and subsequent edits should adhere to the terms of use as outlined on All points’ accumulation will end at 5:00 PM GMT on
May 9, 2011 and only those points earned between 8:00 AM GMT on April 11, 2011 and 5:00 PM GMT on May 9, 2011
will be counted in this contest. Contest entries made through the Internet will be declared made by the registered user of
the profile account. Sponsor is not responsible for phone, technical, network, electronic, computer
hardware or software failures of any kind, misdirected, incomplete, garbled or delayed transmissions. Sponsor will not be
responsible for incorrect or inaccurate entry information, whether caused by entrants or by any of the equipment or
programming associated with or utilized in the contest.
ELIGIBILITY: The contest is open to all members 18 year of age or older on the start date of the
contest. Void where prohibited by law. Employees (including immediate family members and/or those living in the same 
household of each), the Sponsor, members of the Advisory Board, SAS Global Users Group Executive 
Board, their advertising, promotion and production agencies, the affiliated companies of each, and the immediate family 
members of each are not eligible. 

PRIZE: Three (3) prizes will be awarded based on total points accumulated during the contest as follows:
 1stPlace: 3 SAS®Press books - not to exceed $250 in combined retail value;
 2ndPlace: 2 SAS®Press books - not to exceed $150 in combined retail value; and
 3rdPlace: 1 SAS®Press book - not to exceed $100 in retail value.

What’s New

New Points for Prizes Contest
Points for Prizes Contest
Win SAS books!
Contribute content or SAS code to for your chance to WIN! To qualify, simply add or edit articles between April 11, 2011 and May 9, 2011 (GMT). Creation of a first-time profile on gives you 1,000 points. For each valid article creation or edit, 100 points will be earned. The user with the most points collected during this time wins SAS Press Books!

Become a sasCommunity Guru
Thanks for Contributing to!
New Point System
The sasCommunity support team has been hard at work adding new features and is pleased to announce a points system that recognizes each user’s contributions to the site. Every time you contribute by creating a page, updating it, or just doing a little wiki gardening, you earn points.Earning points is automatic and simple – all you have to do is contribute! Creating your account starts you with 1000 points and all the current users have been credited with points dating back to the site coming online in April 2007.