INTELIGENCIA DE NEGOCIOS AL PROCESO DE LA EVALUACION DOCENTE
Main Article Content
Abstract
Universities require for their development integrating databases to support decision making in this way the teacher evaluation improved the relationship with the students, allowing them to be more competitive, improving internal processes, minimizing costs and increasing profits, this is how the holy Tomas University branch Tunja has used the draft business Intelligence process for Teacher evaluation, which allows its executives to use the data Warehouse and OLAP technology in the analysis of information generated by the databases, once implemented concluded to do academic track individual teachers, schools and the university in general detailing its behavior for each of your Items and features.Data mining algorithms is seeking “knowledge” of different data bases with history teachers during their University course. The purpose of knowledge is preventing the Executives on irregular situations, anomalies and even negative events not detected early.
Article Details
How to Cite
Ruiz-Quintero, I. N. (2016). INTELIGENCIA DE NEGOCIOS AL PROCESO DE LA EVALUACION DOCENTE. In Vestigium Ire, 8(1), 206-214. Retrieved from http://revistas.santototunja.edu.co/index.php/ivestigium/article/view/1056
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In Vestigium Ire Vol. 8
Investigium Ire of http://revistas.ustatunja.edu.co/index.php/ivestigium is licensed under a Creative Commons Attribution-NonComecial-NoDerivatives 4.0 International (CC BY-NCND 4.0)
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Evaluación docente integral con fines de me¬joramiento http://www.edificando.unal.edu.co/ descargables/model-edificando.pdf
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Evaluación docente vs. Evaluación de la calidad
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Disponible en: www.todobi.com
S.Negash, Business Intelligence Communications of the Association for Information Systems, vol. 13, article 5. 2004.
S. Williams y N. Williams, The Business Value of Business Intelligence. Business Intelligence Journal. 2003.
F. Dávila, La inteligencia del negocio (business intelligence). Bogotá: Ediciones Politécnico Gran¬colombiano. 2006.
J. L. Cano, Business Intelligence: competir con información. Barcelona: Esade. 2007.
B. Shneiderman, Discovering Business Intelligen¬ce Using Treemap Visualizations. 2006.
C. Hurtado y A. Mendelzon, OLAP Dimension Cons¬traints. In Proc. PODS pp. 169-179. 2002
M. Tammeraja, What is OLAP – On-Line Analytical Processing? 1997
Evaluación docente integral con fines de me¬joramiento http://www.edificando.unal.edu.co/ descargables/model-edificando.pdf
Abukari, Kobana; Job, Vigía. “Business Intelligence in action”. Proquest. CMA Management, (Mayo 07, 2003).
the-data-warehouse-toolkit-the-definitive-gui¬de-to-dimensional-modeling, Ralph Kimball y Margy Ross, 2013
Inmon, Building the Data Warehouse, (Third Edi¬tion). John Wiley & Sons, 2002
Evaluación docente vs. Evaluación de la calidad
http://www.uv.es/relieve/v8n2/relievev8n2_4.pdf
Sistemas de información bi: estado actual y he¬rramientas de software libre http://openaccess.uoc.edu/webapps/o2/bitstream/10609/8175/1/ sduras_tfm_0611.pdf
Solución de inteligencia de negocios para la gestión de recursos educativos y espacios físicos en la universidad del magdalena http://www. unilibre.edu.co/revistaavances/avances-10-1/ tema_01_inteligencia_negocios.pdf