Data Science in Social Control in Education

Authors

  • Glleddson Fryttys Menezes Leite Controladoria-Geral da União
  • Hugo Leonardo Tosto Cuoco

DOI:

https://doi.org/10.36428/revistadacgu.v14i26.551

Keywords:

Business Intelligence. Basic Education. Comparability. Machine Learning. SIOPE.

Abstract

This technical report describes the development process used to implement the Business Intelligence tool on basic education expenditure data, using data from the Information System on Public Budgets in Education. It also presents the opportunities that arose from the use of an agile methodology and how it might bring advantages in cases where there is not a great deal of knowlegde about the business, even facilitating communication between the parts of the deal. Finally, it describes the tool at its current stage and presents the by-products that were built with the pre-processing results.

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References

• BRASIL. Controladoria Geral da União. Relatório de Avaliação nº 201900353. 2019. Disponível em: <https://auditoria.cgu.gov.br/>. Acesso em: 18 jul. 2022.

• GALARNYK, M. Understanding Boxplots. 2018. Disponível em: <https://towardsdatascience.com/understanding-boxplots-5e2df7bcbd51>. Acesso em 18 jul. 2022.

• FACELI, K. et al. Inteligência Artificial: Uma Abordagem de Aprendizado de Máquina, 2ª Ed, Rio de Janeiro : LTC, 2021.

• SARQUIS, R. W., Afinal, o que se busca é comparabilidade ou uniformidade? Revista Mineira de Contabilidade, Belo Horizonte, v. 22, n. 2, 2021.

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Published

2022-12-20

Issue

Vol. 14 No. 26 (2022): Revista da CGU, 26,jul-dez/2022

Section

Ciência de Dados na Administração Pública: Desafios e Oportunidades

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How to Cite

Data Science in Social Control in Education. Revista da CGU, [S. l.], v. 14, n. 26, 2022. DOI: 10.36428/revistadacgu.v14i26.551. Disponível em: https://revista.cgu.gov.br/Revista_da_CGU/article/view/551.. Acesso em: 21 nov. 2024.

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