Cloud Business Intelligence and Analytics Model for smes in the Retail Sector in Peru
Introduction: This article derives from the research “Cloud business intelligence and analytics model for smes in the retail sector in Peru” conducted in 2016 at the School of Engineering, Universidad Peruana de Ciencias Aplicadas (UPC) in Lima, Peru.Problem: The research papers reviewed determine t...
- Autores:
-
López Inga, Milton Elvis
Guerrero Huaranga, Ricardo Martín
- Tipo de recurso:
- Article of journal
- Fecha de publicación:
- 2018
- Institución:
- Universidad Cooperativa de Colombia
- Repositorio:
- Repositorio UCC
- Idioma:
- spa
- OAI Identifier:
- oai:repository.ucc.edu.co:20.500.12494/9430
- Acceso en línea:
- https://revistas.ucc.edu.co/index.php/in/article/view/2157
https://hdl.handle.net/20.500.12494/9430
- Palabra clave:
- Rights
- openAccess
- License
- Copyright (c) 2017 Journal of Engineering and Education
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Cloud Business Intelligence and Analytics Model for smes in the Retail Sector in Peru |
| dc.title.spa.fl_str_mv |
Modelo de inteligencia de negocios y analítica en la nube para pymes del sector retail en Perú |
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Modelo de inteligência de negócios e analítica em nuvem para pmes do setor varejista no Peru |
| title |
Cloud Business Intelligence and Analytics Model for smes in the Retail Sector in Peru |
| spellingShingle |
Cloud Business Intelligence and Analytics Model for smes in the Retail Sector in Peru |
| title_short |
Cloud Business Intelligence and Analytics Model for smes in the Retail Sector in Peru |
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Cloud Business Intelligence and Analytics Model for smes in the Retail Sector in Peru |
| title_fullStr |
Cloud Business Intelligence and Analytics Model for smes in the Retail Sector in Peru |
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Cloud Business Intelligence and Analytics Model for smes in the Retail Sector in Peru |
| title_sort |
Cloud Business Intelligence and Analytics Model for smes in the Retail Sector in Peru |
| dc.creator.fl_str_mv |
López Inga, Milton Elvis Guerrero Huaranga, Ricardo Martín |
| dc.contributor.author.none.fl_str_mv |
López Inga, Milton Elvis Guerrero Huaranga, Ricardo Martín |
| description |
Introduction: This article derives from the research “Cloud business intelligence and analytics model for smes in the retail sector in Peru” conducted in 2016 at the School of Engineering, Universidad Peruana de Ciencias Aplicadas (UPC) in Lima, Peru.Problem: The research papers reviewed determine that Peruvian retail smes have a considerable need for information for decision making in inventory planning and management. Aim: To design a technological model that allows to implement a business intelligence and analytics solution using cloud computing services.Methods: We started from a literature review on the benefits of migration to and implementation of cloud business intelligence and analytics in North American, European and Asian SMES. Based on this, a technological model aimed at Peruvian retail smes was proposed and each of its components described.Results: The model was validated both through its implementation in a Peruvian retail SME in which financial indicators were assessed and through surveys of technology experts.Conclusion: The model allows smes to integrate and process their data in order to obtain relevant and timely information for inventory optimization.Originality: The literature on this type of implementation in Peruvian retail smes aimed at improving decision making is scarce.Limitations: The proposed model is only applicable to retail smes that use transactional systems to record their operations. |
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2018 |
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2019-05-14T21:07:53Z |
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2019-05-14T21:07:53Z |
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2018-01-01 |
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Artículo |
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http://purl.org/coar/version/c_970fb48d4fbd8a85 |
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https://revistas.ucc.edu.co/index.php/in/article/view/2157 10.16925/in.v14i24.2157 |
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https://hdl.handle.net/20.500.12494/9430 |
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https://revistas.ucc.edu.co/index.php/in/article/view/2157 https://hdl.handle.net/20.500.12494/9430 |
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10.16925/in.v14i24.2157 |
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spa |
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https://revistas.ucc.edu.co/index.php/in/article/view/2157/2205 https://revistas.ucc.edu.co/index.php/in/article/view/2157/2507 |
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Copyright (c) 2017 Journal of Engineering and Education http://creativecommons.org/licenses/by-nc-nd/4.0/ |
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info:eu-repo/semantics/openAccess |
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application/pdf |
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Universidad Cooperativa de Colombia |
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Ingeniería Solidaria; Vol 14 No 24 (2018); 1-17 |
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Ingeniería Solidaria; Vol. 14 Núm. 24 (2018); 1-17 |
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Ingeniería Solidaria; v. 14 n. 24 (2018); 1-17 |
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2357-6014 1900-3102 |
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Repositorio Institucional Universidad Cooperativa de Colombia |
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López Inga, Milton ElvisGuerrero Huaranga, Ricardo Martín2018-01-012019-05-14T21:07:53Z2019-05-14T21:07:53Zhttps://revistas.ucc.edu.co/index.php/in/article/view/215710.16925/in.v14i24.2157https://hdl.handle.net/20.500.12494/9430Introduction: This article derives from the research “Cloud business intelligence and analytics model for smes in the retail sector in Peru” conducted in 2016 at the School of Engineering, Universidad Peruana de Ciencias Aplicadas (UPC) in Lima, Peru.Problem: The research papers reviewed determine that Peruvian retail smes have a considerable need for information for decision making in inventory planning and management. Aim: To design a technological model that allows to implement a business intelligence and analytics solution using cloud computing services.Methods: We started from a literature review on the benefits of migration to and implementation of cloud business intelligence and analytics in North American, European and Asian SMES. Based on this, a technological model aimed at Peruvian retail smes was proposed and each of its components described.Results: The model was validated both through its implementation in a Peruvian retail SME in which financial indicators were assessed and through surveys of technology experts.Conclusion: The model allows smes to integrate and process their data in order to obtain relevant and timely information for inventory optimization.Originality: The literature on this type of implementation in Peruvian retail smes aimed at improving decision making is scarce.Limitations: The proposed model is only applicable to retail smes that use transactional systems to record their operations.Introducción: este artículo es producto de la investigación “Modelo de inteligencia de negocios y analítica en la nube para pymes del sector retail en Perú”, realizada durante el 2016 en la Facultad de Ingeniería de la Universidad Peruana de Ciencias Aplicadas (UPC) en Lima, Perú.Problema: las investigaciones revisadas determinan que las pymes retail peruanas tienen un índice alto de necesidad de información para la toma de decisiones en materia de planificación y gestión de inventarios.Objetivo: diseñar un modelo tecnológico que permita la implementación de una solución de business intelligence y analytics mediante el uso de servicios de cloud computing.Metodología: se partió de una revisión de la literatura sobre los beneficios de migración e implementación de business intelligence y analytics sobre cloud en pymes norteamericanas, europeas y asiáticas. A partir de esto se propone un modelo tecnológico orientado a las pymes retail peruanas y se describe cada uno de sus componentes.Resultados: se valida el modelo mediante su implementación en una pyme retail peruana en la que se realiza una evaluación de indicadores financieros, así como por medio de encuestas a expertos en las tecnologías.Conclusión: el modelo permite a las pymes integrar y procesar sus datos con el fin de obtener información relevante y oportuna para la optimización de inventario.Originalidad: la literatura sobre este tipo de implementaciones en pymes retail peruanas orientadas a la mejora de toma de decisiones es escaza.Limitaciones: el modelo propuesto solo es aplicable a pymes retail que hagan uso de sistemas transaccionales en el registro de sus operaciones.Introdução: este artigo é produto da pesquisa “Modelo de inteligência de negócios e analítica em nuvem para pmes do setor varejista no Peru”, realizada durante 2016, na Faculdade de Engenharia da Universidad Peruana de Ciencias Aplicadas (UPC) em Lima, Peru.Problema: as pesquisas revisadas determinam que as pmes varejistas peruanas têm alto índice de necessidade de informação para a tomada de decisões em matéria de planejamento e gestão de inventários.Objetivo: desenhar um modelo tecnológico que permita a implantação de uma solução de business intelligence e analytics mediante o uso de serviços de cloud computing.Metodologia: parte-se de uma revisão da literatura sobre os benefícios de migração e implantação de business intelligence e analytics sobre cloud em pmes norte-americanas, europeias e asiáticas. A partir disso, propõe-se um modelo tecnológico orientado às PMES varejistas peruanas e descreve-se cada componente.Resultados: o modelo é validado mediante sua implantação numa PME varejista peruana na qual foi realizada uma avaliação de indicadores financeiros, bem como por meio de questionários a especialistas em tecnologia.Conclusão: o modelo permite às pmes integrarem e processarem seus dados a fim de obter informação relevante e oportuna para a otimização de inventário.Originalidade: a literatura sobre esse tipo de implantação em pmes varejistas peruanas orientadas à melhoria de tomada de decisões é escassa.Limitações: o modelo proposto somente é aplicável a PMES varejistas que façam uso de sistemas transacionais no registro de suas operações. application/pdfspaUniversidad Cooperativa de Colombiahttps://revistas.ucc.edu.co/index.php/in/article/view/2157/2205https://revistas.ucc.edu.co/index.php/in/article/view/2157/2507Copyright (c) 2017 Journal of Engineering and Educationhttp://creativecommons.org/licenses/by-nc-nd/4.0/info:eu-repo/semantics/openAccesshttp://purl.org/coar/access_right/c_abf2Ingeniería Solidaria; Vol 14 No 24 (2018); 1-17Ingeniería Solidaria; Vol. 14 Núm. 24 (2018); 1-17Ingeniería Solidaria; v. 14 n. 24 (2018); 1-172357-60141900-3102Cloud Business Intelligence and Analytics Model for smes in the Retail Sector in PeruModelo de inteligencia de negocios y analítica en la nube para pymes del sector retail en PerúModelo de inteligência de negócios e analítica em nuvem para pmes do setor varejista no PeruArtículohttp://purl.org/coar/resource_type/c_6501http://purl.org/coar/resource_type/c_2df8fbb1http://purl.org/coar/version/c_970fb48d4fbd8a85info:eu-repo/semantics/articlehttp://purl.org/redcol/resource_type/ARTinfo:eu-repo/semantics/publishedVersionPublication20.500.12494/9430oai:repository.ucc.edu.co:20.500.12494/94302024-07-16 13:24:12.685metadata.onlyhttps://repository.ucc.edu.coRepositorio Institucional Universidad Cooperativa de Colombiabdigital@metabiblioteca.com |