SAS - M2002 Data Mining Technology Conference

Do you seek to

predict customer behavior and identify factors that will maximize your ROI
retain your most profitable customers, increase acquisition and curb attrition
segment your markets for a targeted approach
anticipate resource demand
learn how your data can help you make better business decisions?

At M2002, the 5th annual data mining technology conference, you will learn the data mining skills you need to address these issues and more…

Spend two days learning the latest in data mining from the world's foremost analytical thought leaders, visionaries and practitioners. Featuring four keynote addresses and more than 20 session talks in six tracks, this conference will help you discover numerous new ways to fully harness your data and make better business decisions. Join hundreds of your peers at the conference that sets the industry standard.

M2002 is held at SAS headquarters in Cary N.C, and co-chaired by Will Potts of Data Miners and Anne Milley of SAS.

Keynote speakers include

Robert Blattberg, Kellogg School of Management, Northwestern University
Gordon Linoff, Data Miners
Foster Provost, NYU Stern School of Business
Ed Wegman, Center for Computational Statistics, George Mason University.

Conference forums include

Challenges in Statistical Data Mining
Internet Marketing and Web Mining
New Frontiers
Operations Research in Data Mining
Customer Valuation
Data Mining in the Financial Services

To make the most of your educational experience, M2002 offers pre- and post-conference training. Training takes place Monday, October 21 and Thursday-Friday, October 24-25. The conference is held on Tuesday-Wednesday, October 22-23.

What participants say about the M-series:

"The educational content, exchange of ideas, and intellectual environment I found at the conference exceeded my expectations and confirmed SAS' place as the premier data mining conference in the world."

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"Right time. Right place. Right content."

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"This was a superb environment - one of the smartest conference venues I have experienced (and I have experienced a lot). The talks went into greater depth than the talks at many such meetings. Many of the talks were particularly valuable in shedding light on different application areas of data mining."