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Evaluación de la capacidad de análisis de datos de las pymes desarrolladoras de software de la ciudad de Bogotá
dc.rights.license | Atribución-CompartirIgual 4.0 Internacional |
dc.contributor.advisor | Sánchez-Torres, Jenny Marcela |
dc.contributor.author | Angulo Romero, Carlos Aurelio |
dc.date.accessioned | 2021-09-09T14:51:28Z |
dc.date.available | 2021-09-09T14:51:28Z |
dc.date.issued | 2021 |
dc.identifier.uri | https://repositorio.unal.edu.co/handle/unal/80142 |
dc.description | Ilustraciones y tablas |
dc.description.abstract | The new Information and Communication Technologies have led to significant changes in the commercial and organizational dynamics of companies in the world, especially in terms of how data are analyzed for decision making. Due to the above, this master's thesis addresses the evaluation of the data analysis capacity of SMEs that operate in the software development sector in the city of Bogota, seeking to characterize the diagnostic models used in the environment, to determine the levels of maturity of the parameter observed in the entities studied, according to the dimensions of Organization, Infrastructure, Resource Management, Analysis and Governance. Thus, recommendations are made to strengthen this analytical capacity. To this end, a descriptive methodology was used, with a mixed approach, combining quantitative and qualitative techniques, with a non-experimental research design. Among the results obtained, it was possible to identify the level of maturity of the data analysis capacity of the companies that participated in the research, with reference points such as discrimination by income received by them. A detailed study of the findings was also carried out in relation to the organizational dimensions considered. Finally, actions are suggested that could be useful for closing the development gaps identified. |
dc.description.abstract | Las nuevas Tecnología de la Información y Comunicación han motivado cambios significativos en la dinámica comercial y organizacional de las empresas en el mundo, sobre todo en lo referente a la forma como se analizan los datos para la toma de decisiones. Debido a lo anterior, el presente trabajo de maestría aborda la evaluación de la capacidad de análisis de datos de las pymes que se desenvuelven en el sector de desarrollo de software de la ciudad de Bogotá, buscando caracterizar los modelos de diagnóstico empleados en el entorno, para determinar los niveles de madurez del parámetro observado en las entidades estudiadas, en función de las dimensiones de Organización, Infraestructura, Gestión de recursos, Análisis y Gobernanzas. Así las cosas, se plantean recomendaciones para fortalecer dicha capacidad de análisis. Para tal fin, se empleó una metodología de tipo descriptivo, de enfoque mixto, que combina técnicas cuantitativas y cualitativas, con un diseño de investigación no experimental. Dentro de los resultados obtenidos fue posible identificar el nivel de madurez de la capacidad de análisis de datos de las empresas que participaron en la investigación, con puntos de referencia como la discriminación por ingresos recibidos por las mismas. De igual manera se realizó un estudio minucioso de los hallazgos en relación con las dimensiones organizacionales consideradas. Finalmente se sugieren acciones que podrían ser de utilidad para el cierre de las brechas de desarrollo identificadas. (Texto tomado de la fuente). |
dc.format.extent | xiv, 129 páginas |
dc.format.mimetype | application/pdf |
dc.language.iso | spa |
dc.publisher | Universidad Nacional de Colombia |
dc.rights.uri | http://creativecommons.org/licenses/by-sa/4.0/ |
dc.subject.ddc | 000 - Ciencias de la computación, información y obras generales |
dc.title | Evaluación de la capacidad de análisis de datos de las pymes desarrolladoras de software de la ciudad de Bogotá |
dc.type | Trabajo de grado - Maestría |
dc.type.driver | info:eu-repo/semantics/masterThesis |
dc.type.version | info:eu-repo/semantics/acceptedVersion |
dc.publisher.program | Bogotá - Ciencias Económicas - Maestría en Administración |
dc.description.notes | Incluye anexos |
dc.contributor.researchgroup | GRIEGO (Grupo Investigación en Gestión y Organizaciones) |
dc.coverage.city | Bogotá |
dc.description.degreelevel | Maestría |
dc.description.degreename | Magíster en Administración |
dc.description.methods | Descriptiva, de enfoque mixto, que combina técnicas cuantitativas y cualitativas, con un diseño de investigación no experimental. |
dc.description.researcharea | Estrategia y Organizaciones |
dc.identifier.instname | Universidad Nacional de Colombia |
dc.identifier.reponame | Repositorio Institucional Universidad Nacional de Colombia |
dc.identifier.repourl | https://repositorio.unal.edu.co/ |
dc.publisher.department | Escuela de Administración y Contaduría Pública |
dc.publisher.faculty | Facultad de Ciencias Económicas |
dc.publisher.place | Bogotá, Colombia |
dc.publisher.branch | Universidad Nacional de Colombia - Sede Bogotá |
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dc.relation.references | Hatta, N. N. M., Miskon, S., Ali, N. M., Abdullah, N. S., Ahmad, N., Hashim, H., Alias, R. A., & Maarof, M. A. (2015). Business intelligence system adoption theories in SMES: A literature review. ARPN Journal of Engineering and Applied Sciences. |
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dc.relation.references | Hirvonen, J., & Majuri, M. (2020). Digital capabilities in manufacturing SMEs. Procedia Manufacturing, 51, 1283–1289. https://doi.org/10.1016/j.promfg.2020.10.179 |
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dc.relation.references | Islam, M. (2020). Data Analysis: Types, Process, Methods, Techniques and Tools. International Journal on Data Science and Technology, 6(1), 10. https://doi.org/10.11648/j.ijdst.20200601.12 |
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dc.relation.references | Letón, M., & Pedromingo, A. (2001). Introducción al Análisis de Datos en Meta-Análisis. Ediciones Díaz de Santos. |
dc.relation.references | Luhn, H. P. (1958). A Business Intelligence System. IBM Journal of Research and Development, 2(4), 314–319. https://doi.org/10.1147/rd.24.0314 |
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dc.rights.accessrights | info:eu-repo/semantics/openAccess |
dc.subject.lemb | Computer software development |
dc.subject.lemb | Desarrollo de programas para computador |
dc.subject.proposal | Capacidad de análisis |
dc.subject.proposal | Analytics Maturity (TDWI) |
dc.subject.proposal | Pymes |
dc.subject.proposal | Analysis capacity |
dc.subject.unesco | Data analysis |
dc.subject.unesco | Análisis de datos |
dc.subject.unesco | Data processing |
dc.subject.unesco | Procesamiento de datos |
dc.title.translated | Evaluation of the data analysis capacity of software development SMEs in the city of Bogota |
dc.type.coar | http://purl.org/coar/resource_type/c_bdcc |
dc.type.coarversion | http://purl.org/coar/version/c_ab4af688f83e57aa |
dc.type.content | Text |
dc.type.redcol | http://purl.org/redcol/resource_type/TM |
oaire.accessrights | http://purl.org/coar/access_right/c_abf2 |
dcterms.audience.professionaldevelopment | Administradores |
dcterms.audience.professionaldevelopment | Consejeros |
dcterms.audience.professionaldevelopment | Estudiantes |
dcterms.audience.professionaldevelopment | Investigadores |
dcterms.audience.professionaldevelopment | Maestros |
dcterms.audience.professionaldevelopment | Público general |
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