Abstract
Decision makers thirst for answers to questions. As more data is gathered, more questions are posed. Which customers are most likely to respond positively to a marketing campaign, product price change or new product offering? How will the competition react? Which loan applicants are most likely or least likely to default? The ability raise questions, even those that cannot currently be answered, is a characteristic of a good decision maker. Decision makers no longer have the luxury of making decisions based on gut feel or intuition. Decisions must be supported by data; otherwise decision makers can expect to be questioned by stockholders, reporters or attorneys in a court of law. Data mining can support and often direct decision makers in ways that are often counterintuitive. Although data mining can provide considerable insight, there is an "inherent risk that what might be inferred may be private or ethically sensitive.
Publication Date
2005
Document Type
Book Chapter
Department, Program, or Center
Accounting (SCB)
Recommended Citation
Cook, Jack, "Ethics of data mining" (2005). Accessed from
https://repository.rit.edu/article/441
Campus
RIT – Main Campus
Comments
Note: imported from RIT’s Digital Media Library running on DSpace to RIT Scholar Works in February 2014.