Management And Accounting Web

Roberts-Witt, S. L. 2002. Data mining: What lies beneath? Finding patterns in customer behavior can deliver profitable insights into your business. PC Magazine (November, 19): iBiz 1-6.

Note by James R. Martin, Ph.D., CMA
Professor Emeritus, University of South Florida

AIS/MIS Main Page | Technology Main Page

This article includes a discussion of data mining and some examples of how it is used. Data mining involves obtaining information from a variety of sources that is stored in a data warehouse. This information becomes the input for various applications that uncover relationships and trends related to customers and processes. These results are then used by managers and others to make better decisions. The graphic below illustrates the data mining concept.

Data Mining: Dig, Discover, and Share


Related summaries:

Bensaou, M. and M. Earl. 1998. The right mind-set for managing information technology. Harvard Business Review (September-October): 119-128. (Summary).

Davenport, T. H. 1998. Putting the enterprise into the enterprise system. Harvard Business Review (July-August): 121-131. (Summary).

Elliott, R. K. 1992. The third wave breaks on the shores of accounting. Accounting Horizons 6 (June): 61-85. (Summary).

Martin, J. R. Not dated. What is data mining? Management And Accounting Web.

Martinsons, M., R. Davison and D. Tse. 1999. The balanced scorecard: A foundation for the strategic management of information systems. Decision Support Systems (25): 71-88. (Summary).

Rajaraman, A., J. Leskovec and J. D. Ullman. 2012. Mining of Massive Datasets. (Link to Rajaraman, Leskovec and Ullman).

Williams, S. 2011. 5 Barriers to BI success and how to overcome them. Strategic Finance (July): 26-33. (Note).