Archive for October, 2009

October 24th 2009

Predictive Analytics World Coming Feb 16-17 to San Francisco

Predictive Analytics World

ImageDates: February 16-17, 2010 Location: San Francisco, CA 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 The Top Experts PAW's February 2010 program is packed with the top predictive analytics experts, practitioners, authors and business thought leaders, including keynote speakers Kim Larsen – Director Advanced Analytics, Charles Schwab – and Program Chair Eric Siegel, Ph.D. (President of Prediction Impact and former Columbia University professor). 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-2010 includes 25 sessions across two tracks, so you can witness how predictive analytics is applied at AT&T, BBC, Canadian Automobile Association, Continental Airlines, Dt. Postbank AG, Google, Group RCI, PayPal (eBay), Visa, Walmart Financial Services, The WellMax Institute, and many others. 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. "Hands-On Predictive Analytics" Instructor: Dean Abbott, President, Abbott Analytics "Putting Predictive Analytics to Work" Instructor: James Taylor, CEO, Decision Management Solutions Tell-All Blog Interview Read the interview in which conference chair Eric Siegel answers: – What do attendees gain at PAW? – How does PAW balance the interests of competing software vendors? – Why did you stop doing academic research, and how does commercial application compare? 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: Predictively 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 February's inaugural Predictive Analytics World was an acclaimed success, with over 200 attendees from 12 countries witnessing case studies from over 20 named companies that represent 11 industries. Excitement and buzz ran high as participants learned how to improve efficiency and optimize across more than 10 business applications of predictive analytics. "Predictive Analytics World was probably the best analytics conference I have attended, from a knowledge point of view, in a long time…[and] turned into my new must-go-to conference." Dennis R. Mortensen Director of Data Insights Yahoo! Read more:  Articles and blog entries about February's PAW can be found at 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: Be sure to register by January 15 for the Early Bird rate – save $200 at: 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 (866) 223-2579.

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October 24th 2009

Training: Predictive Analytics for Business, Marketing & Web – Nov 11-12, San Francisco

ImageProgram: Predictive Analytics for Business, Marketing and Web

Dates: Two-day intensive sessions in Nov 11-12, 2009 Locations: San Francisco 98% of attendees since Oct. 2008 rated this program 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 Analytics for Business, Marketing and Web is 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
  • NEW TOPIC: Five Ways to Lower Costs with Predictive Analytics

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 For course details, topic outlines, instructor bio, venue information, registration, on-site training options, and registration specials, see:

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October 24th 2009

Predictive Analytics Tutorial – Nov 2, 9am-12pm, Vegas

Tutorial: The Top Seven Business Applications of Predictive Analytics

ImageDate: November 2, 9:00am – 12:00pm

Place: Las Vegas, NV

The Business Rules Forum, and the colocated Enterprise Decision Management Summit, will include the following pre-conference 3-hour tutorial:

Driving Decisions with Predictive Analytics:
The Top Seven Business Applications

Instructor: Eric Siegel, Ph.D.

Harnessing value with predictive analytics depends on some careful choices: What kind of customer behavior you predict and which operational decisions you automate with it. This workshop will guide you in making these choices, and cover a healthy dose of the core technology along the way.

Click here for more information about the tutorial

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October 8th 2009

Win One of Two Free Passes to Predictive Analytics World – Oct 20-21 in DC

Who: You are eligible if your organization employs – or plans to employ – predictive analytics, and you do not work for a vendor of analytics software or services

How: Enter by submitting a maximum of two sentences describing the greatest challenges your organization faces (or has faced) in the selection of predictive analytics software and solutions, and what characteristics of your company lead to those challenges. Email your submission, along with your name, company name and job title, to

Every valid entry is eligible to win!

When: Winners will be notified October 15th

For more information about PAW, see

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October 8th 2009

Predictive Analytics World Addresses Consumer Privacy

Predictive Analytics World – Oct 20-21 in Washington, DC – ( is focused on the effective application of predictive analytics for business benefit. Related political and social considerations, however, can entail a significant business impact. To address an important issue for predictive analytics, PAW introduces this new panel:

Expert Panel: Predictive Analytics and Consumer Privacy

When analytics delivers value to an enterprise, it often means benefits for the end consumer as well. More precise targeting means less junk in the mail (not to mention fewer trees cut down). More effective fraud detection allows for more competitive pricing. Spot-on personal movie, music and book recommendations certainly can’t hurt. What could possibly go wrong?

Personalization means personal data must be stored. Moreover, with predictive models in place, this personal data becomes alive as it is specifically acted upon. Today’s consumer displays a growing concern with her “cloud identity”. What’s known – and what’s thereby inferred – about a consumer seems to, at times, cut to the core of her sense of identity.

What happens when the shoppers and workers of the world perceive predictive analytics as irresponsibly applied – or, worse yet, what if they’re right? What are the minimally required conditions to ensure the consumer does not feel manipulated?

Our panel of experts digs in to answer these central questions and suggest some guidance for problem avoidance and best practice.

Eric Siegel, Program Chair, Predictive Analytics World


Stephen Baker, BusinessWeek – author, The Numerati

Jules Polonetsky, Co-Chair & Director, Future of Privacy Forum

Mikael Hagstr öm, Executive Vice President, EMEA and Asia Pacific, SAS

More information about this panel:

Predictive Analytics World agenda overview:

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October 4th 2009

Netflix Prize Pioneer to Speak at Predictive Analytics World

ImageThe Netflix Prize competition attracted a well-earned white hot spotlight in recent years, awarding a $1,000,000 prize last month for advancement in product recommendations systems – the prediction of each consumer's movie ratings. Predictive Analytics World speaker Istvan Pilaszy pioneered in this competition by cofounding the first "open collective" team that blended in any and all submissions by other teams willing to contribute. Just like the "Borg" on Star Trek, this team gained power by assimilating others, and in this way came in an extremely close second place – the winning team was evaluated by Netflix as an equal tie in analytical performance, and had submitted its winning solution just 20 minutes earlier! At PAW, Pilaszy will provide an expert/practitioner-level presentation, "Lessons That We Learned from the Netflix Prize," surveying the most important state-of-the-art advancements established during the Netflix competition. Named after the Netflix Prize team, Pilaszy's firm, Gravity R&D, won last year's Strands $100k Call for Recommender Start-Ups, and is a winner of the Red Herring 100 Europe award. Click here for more information about this session On a related note, check out the recent article I wrote, "Casual Rocket Scientists: An Interview with a Layman Leading the Netflix Prize, Martin Chabbert."

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October 2nd 2009

Video introduction to Predictive Analytics World

Here’s a two-minute video overview of Predictive Analytics World by yours truly.

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