Looking Forward: Data Mining and the Business Curriculum

• Activity Number: 260
• Type: Contributed
• Date/Time: Monday, August 5, 2013 : 2:00 PM to 3:50 PM
• Sponsor: Section on Statistical Education
• Author(s): Deborah Gougeon*+
• Keywords: Data Mining ; Business Curriculum ; Data Analytics

Abstract

With the proliferation of computers and computer technology in the last decade, decision makers in business and government have been inundated with massive amounts of data. Whether you shop at a supermarket where your items are scanned into a database, or mouse click on a web site that you are browsing, or use your credit card to purchase an item, or make a phone call to a friend overseas, more data are continually being collected. At a time when companies are attempting to determine why their customer base is rising or falling, or what new and promising drug will be effective in treating an illness, and when government intelligence agencies are trying to determine what combination of phone calls, e-mails, and foreign travel might signal terrorist activity, it seems imperative that we educate our college students regarding the statistical tools that are used in making these decisions. This poster focuses on the development of an undergraduate course in Data Mining, also known as Knowledge Discovery in Data (KDD), Exploratory Data Analysis (EDA), and Business Intelligence.