Advanced analytics e as potenciais contribuições para gestão de projetos

Detalhes bibliográficos
Ano de defesa: 2021
Autor(a) principal: Rocha, Aline Jade Gonçalves lattes
Orientador(a): Mazieri, Marcos Rogério
Banca de defesa: Mazieri, Marcos Rogério, Vils, Leonardo, Serra, Fernando Antônio Ribeiro, Santos, André
Tipo de documento: Dissertação
Tipo de acesso: Acesso aberto
Idioma: por
Instituição de defesa: Universidade Nove de Julho
Programa de Pós-Graduação: Programa de Pós-Graduação em Gestão de Projetos
Departamento: Administração
País: Brasil
Palavras-chave em Português:
Palavras-chave em Inglês:
Área do conhecimento CNPq:
Link de acesso: http://bibliotecatede.uninove.br/handle/tede/2571
Resumo: Advanced Analytics is the use of statistical techniques to answer questions or solve specific problems that is not enough for human analytics ability alone. Thus, using specialist algorithms and advanced statistical techniques, it becomes possible to predict situations and information. In this sense, advanced analytics means the level of use and dissemination of these techniques to achieve the company's goals and projects. Therefore, considering that the success of the company's projects is dependent on the analysis capacity for management, we can understand that there is a relationship between the analytical capacity for prediction and data processing with the success of the projects. Thus, the objective of this dissertation is to analyze and test the relationship between advanced analytics and project management in the Brazilian organizational context, also considering the perception of the company's level of digitalization. Therefore, it is evident that with the use of advanced statistical techniques such as identification and predictive algorithms, the organization will have a higher level of success and efficiency in its projects. As for the limitations of this research, it is considered that advanced analytics is a recent field of study, with few published articles, making the use of “grey zone” theories, that is, articles that have not been published in journals, necessary.