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Reflexión académica sobre temáticas relacionadas con la Ingeniería

Data Mining And Its impact on business decision making in the context of crm

Vol. 7 No. 13 (2011)
Published: 01-04-2024
Carlos Logreira
Universidad Cooperativa de Colombia
Data mining is a term that covers a wide range of techniques used in many industries. Due to increasing competition in profits and market share in the field of marketing, data mining has become an essential tool to maintain a competitive advantage in all phases of a customer’s life cycle. This reflection paper, product of the investigation project “Use of data mining for credit analysis and client segmentation”, made in the Universidad Cooperativa de Colombia between 2006 and 2010, explains the current outlook in data mining; it presents an analysis of its importance, origin and implementation through the description of existing methodologies to develop a project in this area of research. It also reflects on its applicability to business processes associated with the Customer Relationship Management (crm) strategy for making business
decisions and customer segmentation.
Keywords: crm, data mining, business decision making
PDF (Spanish)

How to Cite

[1]
C. Logreira, “Data Mining And Its impact on business decision making in the context of crm”, ing. Solidar, vol. 7, no. 13, pp. 68–71, Apr. 2024, Accessed: Apr. 17, 2026. [Online]. Available: https://revistas.ucc.edu.co/index.php/in/article/view/358

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References

C. Romero, S. Ventura, C. Hervás. Estado actual de la aplicación de la minería de datos a los sistemas de enseñanza basada en web. Actas del iii Taller Nacional de Minería de Datos y Aprendizaje, TAMIDA2005. Córdoba, España: Thompson. 2006, pp. 49-56.

S.J. Vallejo. Minería de datos. Corrientes, Argentina: Universidad Nacional del Nordeste. Tesis de Maestría. 2006, pp. 14-26.

Daedalus, Data, Decisions and Language, S.A. Minería de datos. Documento básico Daedalus. Primera edición. Madrid: Daedalus – Data, Decisions and Language, S.A. 2002, pp. 9-13.

C.A. Martínez. Un vistazo a la minería de datos. Monterrey: Instituto Tecnológico de Estudios Superiores de Monterrey Campus Puebla. 2007, pp. 1-3.

D.X. Fernandez. Data mining e investigación de mercados en el contexto de crm: la evolución en el conocimiento del cliente [tesis de Maestría]. Barcelona: Universidad de Barcelona. 2006.

E.J. Osorio. La inteligencia de negocios basada en el proceso unificado [tesis de Maestría]. Bogotá: Universidad Nacional de Colombia. 2009, pp. 12-18.

Y.J. Marcano Aular y R. Talavera Pereira. Minería de datos como soporte a la toma de decisiones empresariales [tesis de Maestría]. Estado de Zulia: Universidad de Zuila. 2007, pp. 9-15.

M. Servente. Algoritmos tdidt aplicados a la mineria de datos inteligente [tesis de Maestría]. Buenos Aires: Universidad de Buenos Aires, Facultad de Ingeniería. 2002, pp. 14-26.

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