NotesFAQContact Us
Search Tips
Peer reviewed Peer reviewed
PDF on ERIC Download full text
ERIC Number: EJ1139682
Record Type: Journal
Publication Date: 2016
Pages: 3
Abstractor: As Provided
ISSN: EISSN-1936-346X
Engaging Business Students with Data Mining
Brandon, Dan
Journal of Learning in Higher Education, v12 n1 p53-57 Spr 2016
The Economist calls it "a golden vein", and many business experts now say it is the new science of winning. Business and technologists have many names for this new science, "business intelligence" (BI), " data analytics," and "data mining" are among the most common. The job market for people skilled in this area is growing rapidly. ComputerWorld's Survey of its 100 IT leaders ranked it as their top file priority for 2014, and a Gartner survey of 1,400 chief information officers suggests that business intelligence is the number one technology priority for IT organizations. For these reasons, colleges are rushing to develop curriculums, courses, and teaching methods to prepare students for this field. Teaching business students this new science is challenging for a number of reasons including the fact that it uses a variety of disciplines, many traditionally outside of the business school including sophisticated computer algorithms. Thus "engaging" business students with lessons about data mining can be challenging. In this paper, a method of such teaching engagement is discussed and illustrated.
JW Press. P.O. Box 49, Martin, TN 38237. Tel: 731-587-4010; Fax: 731-588-0701; Web site:
Publication Type: Journal Articles; Reports - Descriptive
Education Level: Higher Education; Postsecondary Education
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A
Grant or Contract Numbers: N/A