Courses

Do you have more models to build than time to build them? Do you wonder how other companies build hundreds of models? See how a new mathematical approach called Statistical Learning Theory enables your company to make investment decisions based upon true, predictable returns on investment. Automatically identify the key business drivers that affect your business in a matter of minutes. Learn how you can build and deploy cutting-edge analytic models in a fraction of the time it took using traditional data mining tools.

Register by contacting Armelle Cloche, Conference Manager, at 415-503-4161 or WorkshopsUS@kxen.com or at www.kxen.com/training.

You Will Learn:

• How to build accurate and reliable predictive and descriptive analytic models in minutes
• How to analyze incoming new data in real-time
• How Enterprise Modeling can help your company uncover additional revenue opportunities
• How to accelerate the ROI on your operational systems
• How to build a sustainable competitive advantage
• How other companies use this powerful technology to maximize the use of their data warehouse

You Will Take Home:

• A good understanding of state-of-the-art predictive analytics
• Working knowledge of KXEN software
• Educational material
• White paper
• Presentation

Who Should Attend:

• Data Mining Professionals
• Business Intelligence Professionals
• IT Professionals
• CRM Managers
• Customer Insight Managers
• Business Analysts
• Direct Marketing Professionals
• Business Decision Makers

US Locations and Dates

• New York, Jan 28, 2003
• San Francisco, Feb 20, 2003
• Atlanta, Thursday, March 6
• San Jose, Tuesday, April 15
• New York, Tuesday, May 20
• San Francisco, Thursday, June 12

Current Dates for Peterborough, UK

Workshop Schedule (UK and US)

• 9:30 a.m. - 10:00 a.m. Welcome coffee
• 10:00 a.m. - 1:00 p.m. Morning session
• 1:00 p.m. - 2:00 p.m. Lunch provided by KXEN
• 2:00 p.m. - 4:00 p.m. Afternoon session

Current Dates for Suresnes, France

Times vary -- please look at http://www.kxen.com/training for details.

REGISTER NOW:

For more info: www.kxen.com/workshops