Rivero Riqueme, DanielaOrtiz Clavijo, Luis Felipe2022-01-182022-01-182021Revista Lasallista de Investigación-Vol. 18 No. 21794-4449http://hdl.handle.net/10567/3218The 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 processesesAcceso abiertoUnilasallista Corporación Universitariainfo:eu-repo/semantics/openAcces