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Nov 17-18, San Francisco: Probability Models for Customer-Base Analysis


 
  
Wharton 2-day workshop provides overview of probability models for forecasting, and focused examples that show state-of-the-art approaches for customer-base analysis.


The Wharton Customer Analytics Initiative invites you to attend "Probability Models for Customer-Base Analysis", a two-day workshop being offered in conjunction with Wharton Executive Education. The workshop will be taught by WCAI's Co-Director, Pete Fader, November 17-18, at Wharton's San Francisco campus.

Probability heatmap Customer-base analysis uses information on the history of customer purchase patterns to address forward-looking questions, such as:

1. Which individuals are most likely to be active (or inactive) customers in a future period of time?

2. What will the aggregate and disaggregate purchase patterns look like for a group of customers in the future period?

3. What will be the "customer lifetime value" for a group of customers listed in the firm's database?

An increasingly large number of practitioners have been charged by senior management to obtain valid answers to these kinds of questions. This two-day workshop aims to bring sophisticated practitioners fully up to speed on the essential techniques that should underlie their customer-base forecasting activities.

Peter Fader The workshop objectives are to overview the basics of using probability models for forecasting purposes in general, and to use these "building blocks" in a series of focused examples that illustrate several state-of-the-art approaches towards customer-base analysis. The program will benefit mid-level analytics professionals who are actively building predictive models, as well as more senior managers who want to gain a firmer grip on these emerging concepts.

Seating is limited for the workshop so register by September 15th to reserve your seat. For more information visit the WCAI website.

Register Now


 
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KDnuggets Home » News » 2011 » Aug » Courses, Events » Nov 17-18, San Francisco: Probability Models for Customer-Base Analysis  ( < Prev | 11:n21 | Next > )