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Modelo de predicción de la deserción universitaria mediante analítica de datos: Estrategia para la sustentabilidad
Modelo de predicción de la deserción universitaria mediante analítica de datos: Estrategia para la sustentabilidad
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Modelo de predicción de la deserción universitaria mediante analítica de datos: Estrategia para la sustentabilidad
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Modelo de predicción de la deserción universitaria mediante analítica de datos: Estrategia para la sustentabilidad
Modelo de predicción de la deserción universitaria mediante analítica de datos: Estrategia para la sustentabilidad

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Modelo de predicción de la deserción universitaria mediante analítica de datos: Estrategia para la sustentabilidad
Modelo de predicción de la deserción universitaria mediante analítica de datos: Estrategia para la sustentabilidad
Journal Article

Modelo de predicción de la deserción universitaria mediante analítica de datos: Estrategia para la sustentabilidad

2020
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Overview
Palabras-clave: Software, metodología, base de datos Abstract: The project \"Management system and analysis of climate variables using Data Warehouse and Business Intelligence\" aims to create a web system that allows the user to obtain information on the behavior, trends and history of various climate variables such as temperature, humidity and pressure. Knowledge about the behavior of climatic variables is a basis for decision-making in various areas, such as agronomy, tourism, and construction, among others. The use of business intelligence tools in the organization of data that facilitate interpretation and compression correction, aids decisionmaking, giving a competitive advantage to the user. Introducción El presente trabajo de Sistema de gestión y análisis de variables climáticas mediante la utilización de Data Warehouse (Inmon, 2002) y Business Intelligence (Curto Díaz, 2010), representa un diseño web, que es escalable y sigue las especificaciones de desarrollo de software, donde se registran los datos de la estación climática, con el procesamiento de los datos en tableau para los respectivos análisis. 2.