Repository logo

Browsing by Author "Rivero Riqueme, Daniela"

Now showing 1 - 1 of 1
  • Thumbnail Image
    Item
    Esquema de Flujo de Datos para la Toma de Decisiones en el Sector Público
    (Unilasallista Corporación Universitaria, Editorial Lasallista, 2021) Rivero Riqueme, Daniela; Ortiz Clavijo, Luis Felipe
    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