—Data analytics, specifically knowledge discovery through data mining has received much attention from industry in recent years. However, much of this attention is mostly focused on implementations in large organizations. This paper discusses the importance of data mining in the context of small to midsized organizations through a brief case study. The paper begins by providing a description of data mining, who or what organizations are involved in data mining, and why data mining is important. Next, this paper describes the successful use of Excel and Visual Basic for Applications to support the data mining of automated test software log files at a local mid-sized manufacturer that is suffering from budgetary constraints and lack of management support. In describing the challenges and the means by which analytics were implemented within the organization, the paper attempts to present a means by which a small to medium business can successfully adopt data mining within the organization.
—Data analytics, data mining, small to medium business, visual basic, resource constraints.
M. Baer is with the L-3 Communications Cincinnati Electronics in Mason, Ohio 45040, USA (e-mail: email@example.com).
T. Ariyachandra and M. N. Frolick are with the Management Information Systems Department, Xavier University, Cincinnati, OH 45207 USA. (e-mail:firstname.lastname@example.org, email@example.com).
Cite:Matthew Baer, Thilini Ariyachandra, and Mark Frolick, "Initiating and Implementing Data Mining Practices within a Small to Medium-Sized Business Organization," Journal of Economics, Business and Management vol. 1, no. 4, pp. 334-338, 2013.