BUS 317 - Data Mining for Sales, Marketing and Customer Relationship Management

Institution:

Washington and Lee University

Subject:

Business Administration

Description:

Prerequisites: INTR 201 and 202 and at least junior standing. This course provides an introduction and overview to data mining as a means to understanding customers (existing and potential) in a broad sense, rather than focusing on underlying theory. Many organizations have a wealth of data residing in their databases. Business data mining is the process of collecting and turning this resource into business value. Basic data-mining methods have broad applications: market-basket analysis of scanner data, customer relationship management, churn analysis, direct marketing, fraud detection, click-stream web mining, personalization and recommendation systems, risk management, and credit scoring. The course provides hands-on experience in applying these techniques to practical real-world business problems using commercial data-mining software. Ballenger

Credits:

4.00

Credit Hours:

Prerequisites:

Corequisites:

Exclusions:

Level:

Instructional Type:

Lecture

Notes:

Additional Information:

Historical Version(s):

Institution Website:

www.wlu.edu/

Phone Number:

(540) 458-8400

Regional Accreditation:

Southern Association of Colleges and Schools

Calendar System:

Semester

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