Archive for March, 2010

March 25th 2010

Rexer Analytics Survey Report: Available for Immediate Download

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

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March 20th 2010

WEBCAST: Top 5 Ways to Leverage Web Data for Predictive Analytics

Would you like to find out: 1. How your online business can benefit from predictive analytics – or – 2. Even if your business is not entirely online, how web data can be leveraged with – and provide a benefit to – predictive analytics Then join me when I present: WEBCAST: Top 5 Ways to Leverage Web Data for Predictive Analytics March 31, 2010, 1:00pm EDT Hosted by Unica. In this webcast, Dr Siegel presents an introduction to predictive analytics and examples of real-world success, including a one million dollar success story. Learn how the use of next generation web analytics and predictive analytics can improve your ability to take actions that increase revenue, as well as: — Improve customer retention — Facilitate behavior-based ad selection with AB testing data — Trigger email follow up campaigns — Target responders avoid adverse effects Dr. Siegel will be joined by Akin Arikan, Director of Product Strategy, Unica. Arikan is a web analytics expert, noted speaker and writer. Click here to register

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March 17th 2010

Webinar on Data Preparation: March 25

We all know data preparation can be foreboding, yet is absolutely critical. But do we really know how forboding – yet how critical – it promises to be?

Join us for an Information Management “Espresso Shot Web Seminar,” on which I will be speaking along with Kyle Weeks, PhD, Director of Product Management, SPSS, an IBM Company.

Minding Data before Data Mining: Successful Data Preparation

March 25, 2010, 12:00PM ET

You’ll learn new techniques for speeding through data preparation – without sacrificing the reliability of your results. You’ll hear how you can:

– Clean up “dirty” data in a few easy steps
– Keep outliers or other anomalies from skewing your data¥and your results
– Impute values for missing data using proven, reliable techniques
– Automate data preparation while maintaining a clear, detailed view of your data

For more information and to register (free of course):

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March 14th 2010

Predictive Analytics Seminar: April in NYC and May in San Jose

Here is the 2010 schedule for the predictive analytics training program I facilitate (instruct) – we’ve updated the materials and are raring to go in NYC, San Jose and later San Francisco.


Predictive Analytics for Business, Marketing and Web

April 22-23 (NYC), May 7-8 (San Jose), and Oct 28-29, 2010 (San Francisco)

A two-day intensive seminar brought to you by Prediction Impact, Inc.

98% rate the instructor Excellent or Very Good.

“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

Or take the e-course ONLINE – immediate access, on demand – see

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

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



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

• Five Ways to Lower Costs with Predictive Analytics

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.

“An excellent overview on how to start using predictive analytics in any organization! In just two weeks I already have buy-in from upper management…”

Jennifer Boland, Onsite Marketing Analyst
Sierra Trading Post

“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

For more information, visit, or e-mail us at You may also call (415) 683-1146.

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


Early-Bird Special: $100 off early registration if registered three weeks before event.

April 22-23, 2010 (New York, NY) Penn Pavilion, 450 Seventh Ave. 10001 212-502-8728 (early bird disc: April 1, 2010)

May 7-8, 2010 (San Jose, CA) The Fairmont, 170 South Market Street. 95113 (866) 540-4493 (early bird disc: April 16, 2010)

Oct 28-29, 2010 (San Francisco, CA) AMA Conference Center, in the San Francisco Marriott Hotel, 55 Fourth St. (early bird disc: Oct. 7, 2010)

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March 11th 2010

PAW: Save-the-Date for Oct 19-20, & Call-for-Speakers

Save-the-date for the next PAW: October 19-20, 2010 in Washington DC

Predictive Analytics World is the business-focused event for predictive analytics professionals, managers and practitioners. This conference covers today’s commercial deployment of predictive analytics. It is the only conference of its kind, with sessions and content reaching across business applications, across industries, and across vendors of solutions and software.

“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

Click here to register for our informative event updates

Click here for more information about Predictive Analytics World


Speaker proposals deadline:
April 16, 2010

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.

Speak to a valuable audience. PAW draws attendees from heavy-hitters such as Apple,, Business Objects, Capital One, Charles Schwab, Digi-Key, e-Dialog, eBay, efficient frontier, Ernst & Young, Expedia, Hewlett-Packard, HSBC, Intuit, LexisNexis, Mars, Merkle, MetLife Auto & Home, MindTree, NEC Laboratories America, Orange Labs, Pacific Northwest National Laboratory, PayPal, Premera Blue Cross, PricewaterhouseCoopers, Razorfish,, Thermo Fisher Scientific, and many many more.

As a PAW speaker, you’ll be in good company. For example, last month’s PAW included case studies from the following companies: 1-800-FLOWERS,, AT&T, BBC, Canadian Automobile Association, Charles Schwab, Continental Airlines, Deutsche Postbank, Google, Group RCI, IBM, PASSUR Aerospace, PayPal (eBay), Sun Microsystems, U.S. Army, Walmart Financial Services, Younoodle, and more, plus special examples from the U.S. government agencies CBP, NCMI, NGIC, NSA, and SSA.

PAW is a one-of-a-kind event:

  • While focused on commercial deployment rather than research and development, the conference is substantive in predictive analytics
  • PAW is the only such vendor-neutral event
  • PAW has two tracks: expert/practitioner, and all-levels
  • Chaired by a former Columbia University professor with a decade of commercial experience
  • Run by the producers of the eMetrics Marketing Optimization Summit (the leading web analytics conference), and the acclaimed predictive analytics training program, Predictive Analytics for Business, Marketing and Web.

Click here for more information about the call-for-speakers, and for the speaker submission form

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