Resumen

MARCANO AULAR, Yelitza Josefina  y  TALAVERA PEREIRA, Rosalba. Data Mining as a Support for Enterprise Decision Making. Opcion [online]. 2007, vol.23, n.52, pp.104-118. ISSN 1012-1587.

The task of improving access to information is receiving more and more attention, specially in modern business, where processes based on information as a resource in an automatic and re-usable manner, are required. In this sense, this article constitutes a first approximation to the area of Data Mining and its objective is to examine and describe the techniques and tools emerging in this area of research, based on a theoretical-qualitative reflection that contributes to a greater understanding of the potential and limitations of Data Mining as a support for enterprise decision making. Among the benefits that the technique offers is the possibility of elevating competence levels in businesses, based on a quick identification of, processing and extraction of information that is truly important, as well as discovering knowledge and patterns in data bases. Its ease of use makes it applicable to any area of the knowledge. As limitations, the need to dedicate effort to the establishment of measures of evaluation of the result derived from the application of the data-mining process, as well as the challenge that represents the analysis of data that change in real time are among the most outstanding.

Palabras clave : Data Mining; enterprise decision making; discovery of knowledge; data bases.