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dc.contributor.advisorChumpitaz Avendaño, Max Raúles
dc.contributor.authorLopez Inga, Milton Elvis*
dc.contributor.authorGuerrero Huaranga, Ricardo Martín*
dc.date.accessioned2018-02-14T03:04:47Z
dc.date.available2018-02-14T03:04:47Z
dc.date.issued2017-12-01
dc.identifier.citationLopez Inga, Milton Elvis; Guerrero Huaranga, R. M. (2017). Modelo de business intelligence y analytics soportado por la tecnologia cloud computing para pymes del sector retail. Universidad Peruana de Ciencias Aplicadas (UPC). Retrieved from http://hdl.handle.net/10757/622650es_PE
dc.identifier.urihttp://hdl.handle.net/10757/622650
dc.description.abstractThe main challenge for Peruvian SMEs is obtaining information for decision making. In this context, the use of data analysis technologies such as Business Intelligence and Analytics are not very accessible to companies, due to economic and human capital limitations. The main objective of the project is the implementation of a technological model that combines Business Intelligence and Analytics with Cloud Computing, to allow retail SMEs to integrate and process their data to make informed and timely decisions regarding inventory planning and management, with a low cost of implementation and deployment. For the development of the project, a preliminary investigation is carried out about Business Intelligence, Analytics and Cloud Computing technologies, where the applications of each one is studied and success cases of retail SMEs worldwide. Then, the technological model oriented to the necesities of Peruvian retail SMEs is designed, accompanied by a plan to implement the model based on Business Intelligence and Cloud Computing methodologies and an analysis of cloud service providers that best suit to this type of Business. The model is validated through its implementation in a Peruvian retail SME. To accomplish it, a business and technological infrastructure analysis is carried out and the key information requirements are identified. All this data allows to integrate the isolated information of multiple stores, reducing the data consolidation delay time by 94% and reducing costs by 20%. Finally, we propose a continuity plan that allows scaling the functionalities of the model, oriented to the technological trends of the retail sector.
dc.description.uriTesises_PE
dc.formatapplication/pdfes
dc.language.isospaes
dc.publisherUniversidad Peruana de Ciencias Aplicadas (UPC).es
dc.rightsinfo:eu-repo/semantics/openAccesses
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.sourceUniversidad Peruana de Ciencias Aplicadas (UPC).es_PE
dc.sourceRepositorio Académico - UPCes_PE
dc.subjectBusiness Intelligencees_PE
dc.subjectTablero de mandoes_PE
dc.subjectTecnología de informaciónes_PE
dc.subjectPequeñas empresases_PE
dc.subjectIngeniería de Sistemas de Informaciónes_PE
dc.subjectPerúes_PE
dc.titleModelo de business intelligence y analytics soportado por la tecnologia cloud computing para pymes del sector retailes
dc.typeinfo:eu-repo/semantics/bachelorThesises_PE
thesis.degree.grantorUniversidad Peruana de Ciencias Aplicadas (UPC). Facultad de Ingenieríaes_PE
thesis.degree.levelLicenciaturaes_PE
thesis.degree.disciplineIngeniería y Sistemas de Computaciónes_PE
thesis.degree.nameIngeniero de Sistemases_PE
refterms.dateFOA2018-06-20T06:20:19Z
html.description.abstractEl principal reto de las PYMES peruanas es la obtención de información para la toma de decisiones. En este contexto, el uso de tecnologías tradicionales de análisis de datos como Business Intelligence y Analytics resultan poco accesibles para las empresas, debido a limitantes económicas y de capital humano. El objetivo principal del proyecto es implementar un modelo tecnológico que combine Business Intelligence y Analytics con Cloud Computing, para permitir a las PYMES retail integrar y procesar sus datos para tomar decisiones informadas y oportunas en materia de planificación y gestión de inventarios. Todo con un bajo costo de implementación y despliegue. Para el desarrollo del proyecto se realiza una investigación previa sobre las tecnologías Business Intelligence, Analytics y Cloud Computing, donde se estudian las aplicaciones de cada una y casos de éxito de PYMES retail a nivel mundial. Luego, se diseña el modelo tecnológico orientado a las necesidades de las PYMES retail peruanas, acompañado de un plan de implementación del modelo basado en metodologías de Business Intelligence y Cloud Computing y un análisis de proveedores de servicios cloud que mejor se adecuan a este tipo de empresas. El modelo es validado mediante su implementación en una PYME retail peruana. Para ello, se realiza un análisis de negocio e infraestructura tecnológica y se identifican los principales requerimientos de información. Con ello, se consigue integrar la información aislada de múltiples tiendas, reducir el tiempo de demora de consolidación de datos en un 94% y una reducción de costos del 20%. Finalmente, se propone un plan de continuidad que permite escalar las funcionalidades del modelo, orientado a las tendencias tecnológicas del sector retail.
html.description.abstractThe main challenge for Peruvian SMEs is obtaining information for decision making. In this context, the use of data analysis technologies such as Business Intelligence and Analytics are not very accessible to companies, due to economic and human capital limitations. The main objective of the project is the implementation of a technological model that combines Business Intelligence and Analytics with Cloud Computing, to allow retail SMEs to integrate and process their data to make informed and timely decisions regarding inventory planning and management, with a low cost of implementation and deployment. For the development of the project, a preliminary investigation is carried out about Business Intelligence, Analytics and Cloud Computing technologies, where the applications of each one is studied and success cases of retail SMEs worldwide. Then, the technological model oriented to the necesities of Peruvian retail SMEs is designed, accompanied by a plan to implement the model based on Business Intelligence and Cloud Computing methodologies and an analysis of cloud service providers that best suit to this type of Business. The model is validated through its implementation in a Peruvian retail SME. To accomplish it, a business and technological infrastructure analysis is carried out and the key information requirements are identified. All this data allows to integrate the isolated information of multiple stores, reducing the data consolidation delay time by 94% and reducing costs by 20%. Finally, we propose a continuity plan that allows scaling the functionalities of the model, oriented to the technological trends of the retail sector.


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