Ciência de dados aplicada à Auditoria Interna

Autores

  • Gustavo Fleury Soares École Internationale des Sciences du Traitement de L’Information (EISTI), França

DOI:

https://doi.org/10.36428/revistadacgu.v12i22.195

Resumo

O avanço da tecnologia de informação apresenta novas possibilidades e desafios as atividades de auditoria interna. A ciência de dados apresenta diversos conceitos e técnicas para extrair informacões e insights dos dados, objetivo desejado na auditoria interna. Este trabalho iniciou com as definições e interações das diversas especialidades de ciência de dados, inteligência artificial, mineração de dados e big data. Posteriormente, foi feita a revisão da literatura acadêmica contemporânea correlata, apresentando os principais métodos, benefícios e desafios para cada etapa da auditoria interna.

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Biografia do Autor

  • Gustavo Fleury Soares, École Internationale des Sciences du Traitement de L’Information (EISTI), França

    Mestre em Análise, Exploração e Optimização de Dados (Big Data) pela École Internationale des Sciences du Traitement de L’Information (EISTI), França. Especialista em Segurança em Rede de Computadores pela Universidade Católica de Brasília (UCB). Graduado em Engenharia Mecatrônica pela Universidade de Brasília (UnB). É Auditor Federal de Finanças e Controle com atuação no desenvolvimento de sistemas de TI para auxílio às atividades de auditoria.

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Publicado

30.12.2020

Como Citar

Ciência de dados aplicada à Auditoria Interna. Revista da CGU, [S. l.], v. 12, n. 22, p. 196–208, 2020. DOI: 10.36428/revistadacgu.v12i22.195. Disponível em: https://revista.cgu.gov.br/Revista_da_CGU/article/view/195.. Acesso em: 4 dez. 2024.