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Esquema de Flujo de Datos para la Toma de Decisiones en el Sector Público

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dc.contributor.authorRivero Riqueme, Daniela
dc.contributor.authorOrtiz Clavijo, Luis Felipe
dc.date.accessioned2022-01-18T14:51:39Z
dc.date.available2022-01-18T14:51:39Z
dc.date.issued2021
dc.description.abstractThe application scenarios of data science are wide, but the specialized literature reports few applications in the public sector, particularly as a decision-making tool. Interest in data science has increased in recent years, primarily motivated by the recurrent use of concepts such as the fourth industrial revolution or Big Data. Objective:Propose a data flow scheme for the public sector to aid decision-making. Materials and methods: The work followed a qualitative and descriptive approach methodology, with three stages: (1) documentary tracking, (2) targeting and analysis, and (3) dimension definition and schema design. Results: A data flow scheme with four dimensions is proposed: Big Data, data management, information management, and decision making. Conclusions: The proposed scheme is designed as a tool to help the public sector transition from an unstructured data flow to a sequential scheme that allows the generation of useful information, thereby facilitating decision-making processeses_ES
dc.identifier.citationRevista Lasallista de Investigación-Vol. 18 No. 2es_ES
dc.identifier.issn1794-4449
dc.identifier.urihttp://hdl.handle.net/10567/3218
dc.language.isoeses_ES
dc.publisherUnilasallista Corporación Universitaria, Editorial Lasallistaes_ES
dc.rightsAcceso abierto
dc.rights.accessrightsinfo:eu-repo/semantics/openAcces
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/2.5/co/
dc.subjectUnilasallista Corporación Universitariaes_ES
dc.titleEsquema de Flujo de Datos para la Toma de Decisiones en el Sector Públicoes_ES

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