Esquema de Flujo de Datos para la Toma de Decisiones en el Sector Público
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Date
2021
Journal Title
Journal ISSN
Volume Title
Publisher
Unilasallista Corporación Universitaria, Editorial Lasallista
Abstract
The 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 processes
Description
Keywords
Unilasallista Corporación Universitaria
Citation
Revista Lasallista de Investigación-Vol. 18 No. 2