SAS Institute. The Power to Know

Customer Segmentation Using SAS Enterprise Miner

Duration: 2.0 days     CEU: 1.2

Presented by Goutam Chakraborty, Ph.D., professor of marketing at Oklahoma State University

Emphasizing practical skills as well as providing theoretical knowledge, this hands-on course covers segmentation analysis in the context of business data mining. Topics include the theory of segmentation, as well as four main analytic tools for segmentation: hierarchical clustering, K-menas clustering, RFM cell method, and SOM/Kohonen method.

Learn how to

Who should attend

Anyone who wants to learn how to find meaningful segments in their customer data, focusing on practical business solutions rather than statistical rigor. Business analysts, managers, marketers, programmers, and others can benefit from this course.

Prerequisites

Some prior exposure to SAS is useful, but not required. No experience with SAS Enterprise Miner or SAS Enterprise Guide is required.

Course Contents

Introduction Segmentation Basics Hierarchical Clustering for Segmentation Applications of Hierarchical Clustering k-Means Clustering A Priori Segmentation Using RFM Cells Product Affinity Clusters Wrap-up, Take-Aways, and Looking Forward

Software Addressed

This course addresses the following software product(s): SAS Enterprise Miner.

Course Materials

Students receive a hardcopy of the course notes and, in some courses, can choose to take home a copy of the course data.

U.S. Schedule

29OCT2008 M2008 - Las Vegas, NV
04DEC2008 Boston, MA

Check for additional and updated schedule information online at support.sas.com/courses/bemcs.html.

Registration

To register for this course in the US, call 800-333-7660 or visit support.sas.com/training. This course is also available for on-site training, or you can create a custom course by combining material from several courses. For more details, contact SAS Education in Cary, NC at 919-531-7321 or send e-mail to training@sas.com.