View the agenda at a glance: http://www.predictiveanalyticsworld.com/london/2010/agenda_overview.php

Predictive Analytics World is also coming to:

October 19-20, 2010 – Washington, DC
March 14-15, 2011 – San Francisco, CA

Here’s an overview of the agenda for PAW London, Nov 15-16:

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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 keynote speakers Dr. John Elder and Dr. Eric Siegel.

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 LONDON, UK:

PAW London 2010 will feature over 17 speakers from 10 countries with case studies from leading enterprises in e-commerce, finance, healthcare, retail, and telecom such as Canadian Automobile Association, Chessmetrics, e-Dialog, Hamburger Sparkasse, Jeevansathi.com (India’s 2nd-largest matrimony portal), Life Line Screening, Lloyds TSB, Naukri.com (India’s number 1 job portal), Overtoom, SABMiller, T-Mobile, Univ. of Melbourne, US Bank and Vodafone, plus special examples from Anheuser-Busch, Disney, HP, HSBC, Pfizer, U.S. SSA, WestWind Foundation and others.

PAW London’s agenda covers hot topics and advanced methods such as risk management, uplift (incremental lift) modelling, 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.

View the agenda at-a-glance for PAW London: www.predictiveanalyticsworld.com/london/2010

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

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

Be sure to register by Sept. 30 for PAW London’s Early Bird rate (save £200):
www.predictiveanalyticsworld.com/london/register.php

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

Predictive Analytics World
Washington DC – London – San Francisco

While the next upcoming Predictive Analytics World is October 19-20, 2010, in Washington DC, we’re now accepting proposals to speak at the two PAW events scheduled thereafter.

Accepting speaker proposals for:

PAW – November 15-16, 2010 in London, UK

Park Plaza Victoria London
Speaker proposals deadline: August 13, 2010 (Due soon!)

PAW – March 14-15, 2011 in San Francisco, CA

San Francisco Marriott Marquis
Speaker proposals deadline: October 8, 2010

It’s an exciting time for PAW and predictive analytics in general, as reflected by a steadfast increase in interest in both attending and speaking at the conference.

Join PAW to share how predictive analytics delivers a business impact for your organization. Here is the opportunity to present your work deploying predictive analytics, predictive modeling, product recommendations, response modeling, churn modeling, behavior-based content/ad selection, customer segmentation, fraud detection or other incarnations of predictive analytics.

The PAW call-for-speakers has been updated – if you are considering submitting, please give it a complete read-through. If you are a software vendor, be sure to note the restriction on vendor sessions.

If you wish to receive periodic call-for-speakers notifications regarding Predictive Analytics World, email chair@predictiveanalyticsworld.com with the subject line “call-for-speakers notifications”.

Click here for details about Predictive Analytics World

Expert Panel: “Kaboom! Predictive Analytics Hits the Mainstream”

(October 20, 2010 – Day 2 of the conference)

Predictive analytics has taken off, across industry sectors and across applications in marketing, fraud detection, credit scoring and beyond. Where exactly are we in the process of crossing the chasm toward pervasive deployment, and how can we ensure progress keeps up the pace and stays on target?

This expert panel will address:

• How much of predictive analytics’ potential has been fully realized?
• Where are the outstanding opportunities with greatest potential?
• What are the greatest challenges faced by the industry in achieving wide scale adoption?
• How are these challenges best overcome?

Panelist: David Duling, Research and Development Director, SAS

Panelist: Usama Fayyad, Ph.D., CEO, Open Insights

Panel moderator: Eric Siegel, Ph.D., Program Chair, Predictive Analytics World

Predictive Analytics World’s conference program for October 19-20 2010, Washington, DC is another deep exploration of leading-edge methods and hot topics. Highlights include:

Business Value

• Case Study: Monster.com

Jean Paul Isson, Monster Worldwide – Creating Global Competitive Power with Predictive Analytics

• Case Study: Ingram Micro

Susan Chiu, Ingram Micro – How Ingram Micro Utilizes Predictive Analytics to Enhance Its Marketing Bottom Line and Profitability

Response & Cross-Sell

• Case Study: Paychex

Jason Fox, Paychex – Staying One Step Ahead of the Competition – Development of a Predictive 401(k) Marketing and Sales Campaign

Social Data (including Fraud Detection)

• Thought Leadership

James Kobielus, Forrester Research – Social Network Analysis: Killer Application for Cloud Analytics

• Case Study: 1-800 Flowers

Auren Hoffman, Rapleaf – Leveraging Social Media Data to Manage Fraud Risk

Text Mining (including Fraud Detection)

• Case Study: MetLife

David McMichael, MetLife Auto & Home – Fighting Fraud with Text Mining at MetLife Auto & Home

• Case Study: Xerox PARC

Bo Begole, Palo Alto Research Center, Inc. (a Xerox Company) & Lawrence Lee, Palo Alto Research Center, Inc. (a Xerox Company) – Exploiting Unstructured Data Sources for Predictive Applications

Survey Analysis

• Case Study: Forrester

Roxana Strohmenger, Forrester Research – Making Survey Insights Addressable and Scalable – The Case Study of Forrester’s Technographics® Benchmark Survey

Customer Value

• Case Study: SunTrust

Dudley Gwaltney, SunTrust Bank – When One Model Will Not Solve the Problem – Using Multiple Models to Create One Solution

Segmentation

• Practitioner: Canadian Imperial Bank of Commerce

Daymond Ling, Canadian Imperial Bank of Commerce – Segmentation Do’s and Don’ts

Healthcare

• Case Study: Life Line Screening

Ozgur Dogan, Merkle Inc. & Trish Mathe, Life Line Screening – Taking CRM Global Through Predictive Analytics

• Case Study: UPMC Health Plan

Scott Zasadil, UPMC Health Plan – A Predictive Model for Hospital Readmissions

Sales Force Optimization

• Case Study: Corporate Executive Board

Nancy Hersh, Corporate Executive Board – Enhancing Sales Force Effectiveness with Predictive Analytics

Privacy

• Thought Leadership

Ari Schwartz, Vice President and Chief Operating Officer, Center for Democracy and Technology (CDT) – Myths About Privacy: How Analytics and Privacy Can Live At Peace

Catalog Retailer

• Case Study: Miles Kimball

Ryan Hennig, Miles Kimball – Miles Kimball Optimizes Marketing Decisions

PAW Attendee Statement:

“I came to PAW because it provides case studies relevant to my industry. It has lived up to the expectation and I think it’s the best analytics conference I’ve ever attended!”

Shaohua Zhang
Senior Data Mining Analyst
Rogers Telecommunications

Be sure to register by Sept. 10th for the Super Early Bird rate (a $200 saving):

Sign up for the PAW group on LinkedIn.

Follow PAW on Twitter.

“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

Marianna Dizik
Statistician
Google Inc.

Shaohua Zhang
Senior Data Mining Analyst
Rogers Telecommunications

Vinod Damodaran
VP Engineering
Information Resource Inc (IRI)

Click here for many more statements of testimony about PAW

For more information, see:
www.predictiveanalyticsworld.com

For a complete overview of the conference agenda, see:
www.predictiveanalyticsworld.com/sanfrancisco/2010/agenda_overview.php

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

View the complete agenda at a glance

Register by June 7th for the Super Early Bird and save $400

PAW’s case studies are compelling, revealing, and instructional. October’s program includes predictive analytics case studies from 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 CBP, NCMI, NGIC, NSA, and SSA.

PAW’s agenda this October ups the ante, covering 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, workshops, expert panel, live demos, networking coffee breaks, reception, birds-of-a-feather lunches, leading brand-name enterprise leaders, and industry heavyweights in the business.

“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

Click here for more information about Predictive Analytics World

Be sure to register by June 7th for the Super Early Bird rate (save $400)

Click here to sign up for the PAW group on LinkedIn

Click here for a complete overview of the conference agenda

Training Program: Predictive Analytics – What Really Works

Dates: 26-27 July 2010

Venue: M Hotel, Singapore

Course Leader: Eric Siegel, Ph.D.

To find out more about this two-day course, click here for a complete overview of the training agenda.

Qualify for US$200 early bird discount if you register before 25h June 2010.

Contact Information:
Lance Sum (Marketing Manager)
Tel. No: +65 6391 2530
Fax. No: +65 6392 3592
Email: lance@magenta-global.com.sg

http://www.magenta-global.com.sg/contactmagenta.php

Piyanka Jain, Senior Manager, Global Product Analytics, Paypal
Putting Predictive Analytics into Context: The Analytics Value Chain

Andrew Pole, Senior Manager, Guest Analytics, Target
How Target Gets the Most out of Its Guest Data to Improve Marketing ROI

Eric Siegel, Ph.D., Conference Chair, Predictive Analytics World

Plus, these special plenary sessions from industry heavy-weights:

Usama Fayyad Ph.D.,
CEO, Open Insights
Former Chief Data Officer, Yahoo!

Search Marketing and Predictive Analytics: SEM, SEO and On-line Marketing Case Studies

Text Mining: Lessons Learned

To participate, please click on the link below and enter the access code in the space provided.  The survey should take approximately 20 minutes to complete.

Survey Link: www.RexerAnalytics.com/Data-Miner-Survey-2010-Intro2.html
Access Code:  RS2987

Also gain immediate access to the most recent survey report:

Now updated as of March 2010: The Rexer Analytics 2009 Data Miner Survey

We are excited to offer a 48 page executive summary of the Rexer Analytics 2009 Data Miner Survey. From the most popular software tools to which verticals have embraced modeling – the Rexer Analytics 2009 Data Miner Survey report is truly a valuable resource.

Click here for immediate access to the survey