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dc.contributor.advisorEspaña León, Angel Rafael
dc.contributor.authorBernal Villamar Héctor Omar, Héctor Omar
dc.date.accessioned2020-05-02T22:15:38Z
dc.date.available2020-05-02T22:15:38Z
dc.date.issued2020
dc.identifier.urihttp://dspace.utb.edu.ec/handle/49000/7627
dc.descriptionDevelopment of an administrative level decision-making system for the agricultural input distributor “Agrolive”. The software was developed applying the HEFESTO methodology, it allows the construction of the Data Warehouse in a simple, orderly and intuitive way, to be able to adapt to any software development life cycle.  Analysis of requirements TP OLTP analysis  Logical model of the data warehouse  ETL processes A Data warehouse allows integrating data from multiple source systems, allows a central vision throughout the company for its ability to analyze data from multiple sources using ETL processes (extraction, transformation, reading). This process optimizes decision making by strengthening operations, in order to generate competitive and successful operations.es_ES
dc.descriptionDevelopment of an administrative level decision-making system for the agricultural input distributor “Agrolive”. The software was developed applying the HEFESTO methodology, it allows the construction of the Data Warehouse in a simple, orderly and intuitive way, to be able to adapt to any software development life cycle.  Analysis of requirements TP OLTP analysis  Logical model of the data warehouse  ETL processes A Data warehouse allows integrating data from multiple source systems, allows a central vision throughout the company for its ability to analyze data from multiple sources using ETL processes (extraction, transformation, reading). This process optimizes decision making by strengthening operations, in order to generate competitive and successful operations.es_ES
dc.description.abstractDesarrollo de un sistema de toma de decisiones nivel administrativo para la distribuidora de insumos agrícolas “Agrolive”. El software fue desarrollado aplicando la metodología HEFESTO, permite la construcción de Data Warehouse de forma sencilla, ordenada e intuitiva, para poder adaptarse a cualquier ciclo de vida de desarrollo de software.  Análisis de requerimientos  Análisis de los OLTP  Modelo lógico del data warehouse  Procesos ETL Un Data warehouse permite integrar datos de múltiples sistemas de origen, permite una visión central en toda la empresa por su capacidad de analizar datos de múltiples fuentes utilizando procesos de ETL (extracción, transformación, lectura). Este proceso optimiza de toma de decisiones fortaleciendo la operatividad, con el fin de generar operaciones competitivas y exitosas.es_ES
dc.format.extent60 p.es_ES
dc.language.isoeses_ES
dc.publisherBabahoyo, UTB - FAFI 2020es_ES
dc.rightsAtribución-NoComercial-SinDerivadas 3.0 Ecuador*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/ec/*
dc.subjectData warehousees_ES
dc.subjectETLes_ES
dc.subjectCubo olapes_ES
dc.subjectBusiness intelligencees_ES
dc.subjectOltpes_ES
dc.titleSistema de toma de decisiones nivel administrativo para la distribuidora de insumos agrícolas “AGROLIVE”es_ES
dc.typebachelorThesises_ES


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Atribución-NoComercial-SinDerivadas 3.0 Ecuador
Except where otherwise noted, this item's license is described as Atribución-NoComercial-SinDerivadas 3.0 Ecuador