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JULY 2011


Predictive Analytics World 
Text Analytics World
October 16-21 in New York City
Delivering 6 days of content, including workshop days


New White Paper:  Uplift Modeling - Predict Marketing Influence
Webcast:  The Translation Layer - The Role of Analytic Talent - July 28
PAW NYC Full Agenda, Keynote on Watson - Oct 16-21 in NYC
Preview:  Download the PAW NYC Conference Preview Guide
Conference:  Text Analytics World Topics & Case Studies - Oct 19-20 in NYC
 PAW-Government Agenda Details - Sep 12-13 in DC

PAW London Keynotes & Case Studies - Nov 30-Dec 1 in London
Video Overview:  Reasons to Attend Predictive Analytics World
Video Interview:  Elements of Success & Hottest Trends in Analytics
Online Course:  Predictive Analytics Applied - On demand any time 
Conference Videos:  View Prior PAW Sessions Now - Online, on demand
Training Seminar:  Predictive Analytics for Business - Oct 27-28 in San Fran
Industry Survey Report:  Immediate download
Services:  Predictive Analytics Consultation and Resources 

Note: Be sure to add "[email protected]" to your address book to ensure future event notifications are not captured by your SPAM filter.

Uplift Modeling - Predict Marketing Influence

"Uplift Modeling:
Predictive Analytics Can't Optimize Marketing Decisions Without It"

By Eric Siegel, Ph.D.

To drive business decisions for maximal impact, analytical models must predict themarketing influence of each decision on customer buying behavior.  Uplift modeling provides the means to do this, improving upon conventional response and churn models that introduce significant risk by optimizing for the wrong thing.  This shift is fundamental to empirically driven decision making.  

This convention-altering white paper, sponsored by Pitney Bowes Business Insight, reveals the why and how, and delivers case study results that multiply the ROI of predictive analytics by factors up to 11.

Download this white paper now

The Translation Layer - The Role of Analytic Talent - July 28


The Translation Layer:  The Role of Analytic Talent
Increasing the impact analytic professionals have on their organizations

Join us on July 28, 2011 - 1:00 pm EST/10:00 am PST

Brought to you by: SAS

Hosted by: Eric Siegel, Ph.D., Program Chair, Predictive Analytics World

Featured Presenter: Lori C. Bieda, Executive Lead, Customer Intelligence, The Americas, SAS

For organizations with multiple lines of business and deep, rich databases, making sense of information has become a business itself.  What is needed now, more than ever, is a good translation layer to ground businesses in fact-based decision making. 

The translation layer is defined as the role that analytical people play, or ought to play, within organizations to bridge the gap between information and powerful business applications.  This webinar illustrates why the analytics community must evolve to increase the impact they have on the organizations where they work.  

Register Now

PAW NYC Full Agenda, Keynote on Watson - Oct 16-21 in NYC

Keynote Announced:  
David A. Ferrucci, IBM Fellow and Watson Principal Investigator, IBM Research.  
Speaking on: "Building Watson - An Overview of the DeepQA Project"

The full conference agenda for Predictive Analytics World NYC has been posted.

Register by Sept 2nd and save $200

Predictive Analytics World, October 16-21 in New York City (, is the business 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: 

Bigger wins: Strengthen the business impact delivered by predictive analytics 

Broader capabilities: Establish new opportunities with predictive analytics 

Predictive Analytics World October 2011 in New York is packed with the top predictive analytics experts, practitioners, authors and business thought leaders, including keynote speakers:

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 2011 program is the richest and most diverse yet, featuring over 40 sessions across 3 tracks: 1) "All Audiences", 2) "Expert/Practitioner", 3) "Financial Services" -- so you can witness how predictive analytics is applied by ACE Cash Express, Blue Cross, Charlotte-Mecklenburg Police Dept., Citibank, Cox Communications, Fidelity, GE Capital, Heritage Provider Network, Infinity Insurance, Intuit, LinkedIn,, Microsoft, New Directions Behavioral Health, New South Wales Government,, Paychex, Inc., PayPal, Rebellion Research, United Group Holdings, USPS Office of Inspector General, YMCA, a top 5 international bank, a top global retailer, and three major US banks, plus insights from projects for Anheiser-Busch, the SSA, and Netflix.

PAW NYC's agenda covers black box trading, churn modeling, crowdsourcing, demand forecasting, ensemble models, fraud detection, healthcare, insurance applications, law enforcement, litigation, market mix modeling, mobile analytics, online marketing, risk management, social data, supply chain management, targeting direct marketing, uplift modeling (net lift), and other innovative applications that benefit organizations in new and creative ways. 

Track 3 sessions are entirely within this industry. 

The new conference Text Analytics World, co-located with PAW NYC, provides reasonable cross-registration options. 

PAW also features several full-day pre- and post-conference workshops that complement the core conference program. Workshop agendas include advanced predictive modeling methods, hands-on training, text analytics, a bootcamp and full-day intro to R (the open source analytics system), enterprise decision management, user-friendly deployment, and introductions to predictive analytics and to business analytics.

More information

View the agenda at-a-glance

View the PAW overview video

Register by Sept 2 for the Early Bird Rate (save $200)

Sign up for informative event updates

Sign up for the PAW group on LinkedIn

Download the PAW NYC Conference Preview Guide

Download the conference preview guide for an in-depth look at Predictive Analytic World's all-star speaker line up and array of case studies, coming to NYC October 16-21. Attendees will have the opportunity to hear first-hand how their peers and industry experts are using predictive analytics to improve efficiency, reduce risk, and increase profits across a wide range of industries.

 Download the PAW Preview Guide now

Text Analytics World Topics & Case Studies - Oct 19-20 in NYC

Register by Sept 2nd and save $200

Text Analytics World NYC is the business-focused event for text analytics professionals, managers and commercial practitioners. This conference delivers case studies, expertise and resources to leverage unstructured data for business impact.

Text Analytics World NYC is packed with the top text analytics experts, practitioners, authors and business thought leaders, including keynote speakers:

Text Analytics World focuses on concrete examples of deployed text analytics. Hear from the horse's mouth precisely how Fortune 500 analytics competitors and other top practitioners employ text analytics, and what kind of business impact it delivers. 

TAW New York City will feature over 25 sessions with case studies form leading enterprises in automobile, educational, e-commerce, financial services, government, high technology, insurance, retail, social media, and telecom such as:  Accident Fund, Amdocs,, Citibank, Florida State College, Google, Intuit, MetLife, Mitchell1, PayPal, Snap-on, Socialmediatoday, a Fortune 500 global technology company, plus special examples from U.S. government agencies DoD, DHS, and SSA. 

TAW New York City's agenda covers hot topics and advanced methods such as churn risk detection, customer service and call centers, decision support, document discovery, document filtering, financial indicators from social media, fraud detection, government applications, insurance applications, knowledge discovery, open question-answering, parallelized text analysis, risk profiling, sentiment analysis, social media applications, survey analysis, topic discovery, and voice of the customer and other innovative applications that benefit organizations in new and creative ways. 

More Information

View the agenda at-a-glance

Register by Sept 2 for the Early Bird rate (save $200)

Sign up for informative event updates

Sign up for the TAW group on LinkedIn

PAW-Government Agenda Details - September 12-13 in DC


   Early Bird Discount (Deadline Aug 12th)

2 days of content, more than 18 topics delivered by over 25 predictive analytics experts, practitioners, authors, and government thought leaders

Predictive Analytics World for GovernmentSeptember 12-13 in Washington, DC, is the first vendor-neutral predictive analytics conference for the government, designed to help agency managers understand how they can apply predictive analytics to more effectively and efficiently accomplish their mission. 

Agenda Now Available

Highlights include:

  • Case studies from Federal, State, and Local agencies such as Department of Justice, USDA Risk Management Agency, USDA Food Safety and Inspection Service, U.S. Postal Service Office of Inspector General, Department of Treasury, Department of Defense, National Security Agency, New South Wales Department of Transportation, Mexico Tax Administration Service, NASA, and Defense Finance and Accounting Service.
  • Hot topics and advanced methods covering fraud detection and prevention, text mining, law enforcement, food safety, grants management, hotspot detection, optimization of facilities, ensemble models, supervised/unsupervised predictive modeling, crowdsourcing, and other innovative applications that benefit organizations in new and creative ways.

Featuring leading government predictive analytics practitioners including:

About Predictive Analytics World for Government:

Predictive analytics reduces fraud, waste, and abuse, automates manual processes, maximizes productivity of agency personnel, and drives smarter decisions by extracting actionable insights from the vast quantities of data within government agencies. 

Predictive Analytics World for Government is for government executives, program managers, financial and HR managers, CIOs and CTOs, law enforcement, and analytics professionals, covering today's deployment of predictive analytics and data mining across government agencies and across software vendors. The conference delivers case studies, expertise and resources, empowering Federal, State, and Local government to achieve these objectives:

  1. Drive Smarter Decisions from Data
  2. Reduce Fraud, Waste, and Abuse
  3. Automate Manual Processes
  4. Prioritize Resources and Maximize Productivity
  5. Detect Threats and Increase Security 

Register by August 12th for the Early Bird rate (Government employees: save $100; Industry: save $200). Save an additional 25% for each additional attendee from the same company registered at the same time

About Predictive Analytics World for Government

Sign up for informative event updates

View the agenda at-a-glance

PAW London Keynotes and Case Studies - Nov 30-Dec 1 in London

Predictive Analytics World London, November 30 - December 1, 2011, is packed with the top predictive analytics experts, practitioners, authors and business thought leaders, including keynote speakers:

Plus special featured sessions from industry heavy-weights:

PAW focuses on concrete examples of deployed predictive analytics. Hear from the horse's mouth precisely how FT 500 analytics competitors and other top practitioners deploy predictive modelling, and what kind of business impact it delivers. 

PAW London 2011 will feature over 20 speakers from 8 countries with case studies from leading enterprises in e-commerce, finance, healthcare, retail, and telecom such as: ENERGEX, GlaxoSmithKline, Hewlett Packard, ING Belgium, JustGiving, Lloyds TSB General Insurance, OTTO Group, Paychex, The Royal Bank of Scotland, United Group Holdings, US Bank, and Yahoo! Plus special examples from U.S. government agencies DoD, DHS, and SSA.

PAW London's agenda covers hot topics and advanced methods such as churn modeling, demand forecasting with predictive models, discovery of technology trends, financial services, human resource retention, non-profit fundraising, online ad optimization, pharmaceutical applications, project management for analytics, risk management, supply chain management, text analytics, uplift modelling (net lift), and other innovative applications that benefit organizations in new and creative ways.

Post-conference workshop, Friday 2nd December in London: "The Best and the Worst of Predictive Analytics: Predictive Modeling Methods and Common Data Mining Mistakes" - with Dr. John Elder.  A free copy of John Elder's book Statistical Analysis and Data Mining Applications is included.

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.

More Information

Register by July 15 for the Super Early Bird rate (save £300)

Click here to sign up for our informative event updates

View the agenda at-a-glance

Click here to sign up for the PAW group on LinkedIn

Reasons to Attend Predictive Analytics World

What's Predictive Analytics World all about and why should you go? Watch the video overview   of PAW, including statements from Thomas Davenport, conference chair Eric Siegel, and other conference participants and VIPs.

VIDEO INTERVIEW:  Elements of Success & Hottest Trends in Analytics

    NEW VIDEO INTERVIEW: Elements of Success
     SAS Knowledge Exchange hosts a video interview with Eric Siegel addressing each of 
     these questions:

  • How do you define analytics?
  • What elements are necessary for an organization to be most successful with analytics?
  • How can organizations evaluate the success of their analytics investment?
  • What are the challenges of measuring ROI versus the level of investment?
  • Do you have some advice for an organization that is just beginning to dip their toes into analytics?
Click here to view the interview

"If you can predict it, you own it:  Four steps of predictive analytics to own your market."
By Eric Siegel, Ph.D.

Click here to read the article


What are the hottest trends in analytics?

This video, produced and hosted by SAS, is described on their Knowledge Exchange as follows:

Eric Siegel, Ph.D., Conference Chair of Predictive Analytics World and Text Analytics World, expands on the innovative approaches of using social data, text analytics and net-lift modeling in this video. He says that analyzing social data - or "what people's friends are doing" - improves predictive models. He also explains that structured, tabular data from applying text analytics to unwieldy unstructured data is a significant source to better predict customer behavior. Lastly, Siegel says that net-lift modeling offers a more complex approach than traditional modeling, as it tells organizations which customers will be receptive to retention offers.

Watch this five minute video  

Predictive Analytics Applied - On demand any time

Predictive Analytics Applied 

of attendees rated instructor Excellent or Very Good (details)

Available on-demand, at your convenience - self-paced, e-learning
Internationally-friendly online program

Predictive a
nalytics is business intelligence technology that produces a predictive score for each customer or prospect. Each customer's predictive score informs actions to be taken with that customer - business intelligence just doesn't get more actionable than that. 

Predictive Analytics Applied is a self-paced online course of four concentrated sessions of 60 to 90 minutes each covering:
  • Applications: Business, marketing and web problems solved with predictive analytics 
  • Core technology: How a predictive model works and how it's created 
  • Evaluation: Measuring how well a predictive model works and how much revenue it generates 
  • Process: Management and project leadership for predictive analytics 
  • Illustrations: Live demos and detailed case studies 
  • Hands-on: Get your hands dirty for 20 minutes with a revealing Excel-based exercise 
Personalized support: Online training participants also receive 30 minutes of Q-and-A support with the instructor via telephone or email. 

"It's just the best way to enter the amazing new world of Predictive Analytics! Compact, to the point but still not shallow. And I love the many strong examples."
     Ronny Roeller 
     The Netherlands 

More testimony

Each session of this self-paced e-learning program may be viewed at your convenience. Since no travel is required and the registration fee is one-third the fee of the in-person training, it provides an economical alternative for ramping up on predictive analytics. 

View the free sneak preview video right now

Instructor: Eric Siegel, Ph.D.

Cross-Registration Special: Participants may apply half the registration fee towards Predictive Analytics World

Click here for more information and to register for immediate access

View Prior PAW Sessions Now - Online, On Demand

Predictive Analytics World is pleased to announce on demand access to the videos of PAW Washington DC, October 2010, including over 30 sessions and keynotes that you may view at your convenience. Access this leading predictive analytics content online now: 

View the PAW D
C session videos online

Trial videos – view the following for no charge: 

Keynote from Andrew Pole of Target: 
        "How Target Gets the Most out of Its Guest Data to Improve Marketin...

• Sponsored sessions from IBMSASDeloitteInfogroupParAccel

Select individual conference sessions, or recognize savings by registering for access to one or two full days of sessions. These on-demand videos deliver PAW DC right to your desk, covering hot topics and advanced methods such as: 

    Social data 
    Text mining 
    Search marketing 
    Risk management 
    Survey analysis 
    Consumer privacy 
    Sales force optimization 
    Response & cross-sell 
    Recommender systems

Featuring experts such as:  Click here to see all speaker video topics

PAW DC videos feature over 25 speakers with case studies from leading enterprises such as: CIBC, CEB, Forrester, Macy's, MetLife, Microsoft, Miles Kimball,, Oracle, Paychex, SunTrust, Target, UPMC, Xerox, Yahoo!, YMCA, and more. 

How video access works:

View slides on the Left, See & Hear Speaker in the Right Window 

Click here for more information
TRAINING SEMINAR: Predictive Analytics for Business - Oct 27-28 in San Francisco

Predictive Analytics for Business, Marketing & Web 

Program: Predictive Analytics for Business, Marketing and Web 
Dates: Two-day intensive session: Oct 27-28 (San Francisco

98% of attendees rated instructor Excellent or Very Good (details) 

**The official training program of Predictive Analytics World** 

Bring this course on-site. Give your personnel a complete understanding of predictive analytics, on your premises and at your convenience.

About This Seminar
Business metrics do a great job summarizing the past. But if you want to predict how customers will respond in the future, there is one place to turn - predictive analytics. By learning from your abundant historical data, predictive analytics provides the marketer something beyond standard business reports and sales forecasts: actionable predictions for each customer. These predictions encompass all channels, both online and off, foreseeing which customers will buy, click, respond, convert or cancel. If you predict it, you own it.

The customer predictions generated by predictive analytics deliver more relevant content to each customer, improving response rates, click rates, buying behavior, retention and overall profit. For online applications such as e-marketing and customer care recommendations, predictive analytics acts in real-time, dynamically selecting the ad, web content or cross-sell product each visitor is most likely to click on or respond to, according to that visitor's profile. This is AB selection, rather than just AB testing. 

 Predictive Analyics for Business, Marketing and Web a concentrated training program that includes interactive breakout sessions and a brief hands-on exercise. In two days we cover:
  • The techniques, tips and pointers you need in order to run a successful predictive analytics and data mining initiative 
  • How to strategically position and tactically deploy predictive analytics and data mining at your company 
  • How to bridge the prevalent gap between technical understanding and practical use 
  • How a predictive model works, how it's created and how much revenue it generates 
  • Several detailed case studies that demonstrate predictive analytics in action and make the concepts concrete 
  • Five Ways to Lower Costs with Predictive Analytics 
"A very insightful and interesting seminar. I plan to put data mining and predictive analytics to work for us right away thanks to your ability to make this an approachable subject."
     Rob Ford 
     Director Pricing 
     Getty Images 

"At Intuit we're already using data as an asset on the web, but this course makes it very concrete how we can take it to the next level."
     Jared Waxman 
     Web Analytics Leader 

More testimony

Instructor: Eric Siegel, Ph.D.

No background in statistics or modeling is required. The only specific knowledge assumed for this training program is moderate experience with Microsoft Excel or equivalent. 

Cross-Registration Special: Attendees earn $250 off the Predictive Analytics World Conference

Course outline, venue information, registration, on-site options, and discount offers


Newly Released:  The Rexer Analytics 2010 Data Miner Survey  

The results are in for the Rexer Analytics 2010 Data Miner Survey. From the most popular software tools to which verticals have embraced modeling - results across 50 surveyed items - the Rexer Analytics 2010 Data Miner Survey report is truly a valuable resource.  

Click here for immediate access to the survey

Exclusive release of 2011 survey highlights coming to PAW

SERVICES: Predictive Analytics Consultation and Resources

"With predictive analytics, each customer's predictive score informs what action to take with that customer. Business intelligence just doesn't get more actionable  than that!"

- Eric Siegel, Ph.D., President 

Based in San Francisco, Prediction Impact, Inc. ( provides consulting services over a range of disciplines, including predictive analytics, data mining, business intellig
ence, and text mining. Prediction Impact consultants have gained a great deal of commercial experience, working with large banks, manufacturers, retail firms, and online businesses, and enabling these organizations to learn from their data. Most Prediction Impact consultants have earned advanced degrees in relevant fields, demonstrating adept familiarity with core predictive modeling methods. 

For more information, contact Eric Siegel, Ph.D., President: 

     phone: (415) 683-1146 
     email: [email protected]

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