Predictive Analytics for Business and Marketing

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Predictive Analytics for Business and Marketing is a 2-day, concentrated training program with an active hands-on component.


Predictive Analytics

February 15-16, 2007 and May 10-11, 2007 (The May seminar is just after the San Francisco Emetrics Summit, and right around the block)

San Francisco, California

Data is your most valuable asset. It represents the entire history of your organization and its interactions with customers. Predictive analytics taps this rich vein of experience, mining it to offer something completely different from standard business reporting and sales forecasting: actionable predictions for each customer. If you predict it, you own it.

Customer predictions translate to higher profits. Predictive analytics delivers more relevant content to each customer, improving response rates, buying behavior and customer retention, and decreasing campaign spending.

Predictive Analytics for Business and Marketing is a concentrated training program with an active hands-on component. 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

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

Who this seminar is for:

--Managers. Project leaders, directors, CXOs, vice presidents, investors and decision makers of any kind involved with analytics, direct marketing or online marketing activities.

--Marketers. Personnel running or supporting direct marketing, response modeling, or online marketing who wish to improve response rates and increase campaign ROI for retention, upsell and cross-sell.

--Technology experts. Analysts, BI directors, developers, DBAs, data warehousers, and consultants who wish to extend their expertise to predictive analytics.

For more information, please visit

$1,300 course fee

About the instructor:

Eric Siegel, Ph.D., is a seasoned consultant in data mining and analytics, an acclaimed industry instructor, and an award-winning teacher of graduate-level courses in these areas. Eric served as a computer science professor at Columbia University, where he developed data mining technology in the realms of machine learning performance optimization, integrating historical databases, text mining, and data visualization. Eric produced 11 peer-reviewed research publications and ran an MIT-hosted symposium on data mining. He also co-founded two New York City-based software companies for customer/user profiling and data mining. With data mining, Eric has solved problems in CRM analytics, computer security, fraud detection, text mining and information retrieval.

Eric has taught industry programs through Prediction Impact, The Modeling Agency and Salford Systems. In addition, he taught many semesters of university courses, including data mining-related graduate courses as well as introductory lecture series for non-technical audiences. Two of these courses have been in syndication through the Columbia University Video Network. Eric also published three peer-reviewed papers on computer science education.


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Eric Siegel, Ph.D.
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