Practices and barriers for big data projects: A case study on a large insurance company

Detalhes bibliográficos
Autor(a) principal: Terlizzi, Marco Alexandre
Data de Publicação: 2024
Outros Autores: de Oliveira, Felippe Eiji Tashiro, Francisco, Eduardo de Rezende
Tipo de documento: Artigo
Idioma: por
Título da fonte: Revista Gestão e Projetos (GeP)
Texto Completo: https://periodicos.uninove.br/gep/article/view/24673
Resumo: The adoption of big data analytics is increasing in every major industry, demanding investments in new projects, technologies, architectures, and processes to allow the integration of big data platforms with legacy systems; however, many organizations have failed to incorporate it effectively into their decision-making processes and project benefits have not been adequately captured. This study aims to further investigate how a big data analytics project can be implemented in insurance companies. A case study was conducted on one of the largest insurance companies in Brazil with interviews and document analysis. The study identified five main practices that were adopted to successfully implement a big data analytics project (implement automatic autoscaling alerts, use specialized big data tools, integrate the platform with legacy systems, comply with privacy legislation, and ensure the documentation of technical architecture using business process modeling), as well as four barriers that prevent its proper adoption (complexity of access to multicloud data sources, high processing requirements of unstructured data analysis, failure to attend to business necessities at the right time, and project delays brought by bureaucratic interdepartmental processes); some of these have not previously been identified. Finally, an action plan to address these issues is presented.
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spelling Practices and barriers for big data projects: A case study on a large insurance companyPráticas e barreiras em projetos de big data: Um estudo de caso em uma grande seguradoraProject managementIT projectsBig data analytics platformInsurance industry.Gerenciamento de projetosProjetos de tecnologiaPlataforma de big dataIndústria de segurosThe adoption of big data analytics is increasing in every major industry, demanding investments in new projects, technologies, architectures, and processes to allow the integration of big data platforms with legacy systems; however, many organizations have failed to incorporate it effectively into their decision-making processes and project benefits have not been adequately captured. This study aims to further investigate how a big data analytics project can be implemented in insurance companies. A case study was conducted on one of the largest insurance companies in Brazil with interviews and document analysis. The study identified five main practices that were adopted to successfully implement a big data analytics project (implement automatic autoscaling alerts, use specialized big data tools, integrate the platform with legacy systems, comply with privacy legislation, and ensure the documentation of technical architecture using business process modeling), as well as four barriers that prevent its proper adoption (complexity of access to multicloud data sources, high processing requirements of unstructured data analysis, failure to attend to business necessities at the right time, and project delays brought by bureaucratic interdepartmental processes); some of these have not previously been identified. Finally, an action plan to address these issues is presented. A adoção do big data pelas organizações continua em expansão, exigindo investimentos em novos projetos, tecnologias, arquiteturas e processos que permitam a integração das novas plataformas de big data aos sistemas legados; entretanto, muitas organizações ainda não conseguiram integrar de forma eficaz o big data aos seus processos de tomada de decisão nem capturar de forma adequada seus benefícios. Este estudo tem como objetivo demonstrar as práticas e barreiras relacionadas à implementação de uma plataforma de big data e sugerir melhorias para projetos futuros. Realizamos um estudo de caso em uma das maiores seguradoras do Brasil por meio de análise documental e entrevistas com dez profissionais envolvidos no projeto (técnicos, gestores e executivos). O estudo expande a literatura atual com duas novas descobertas: uma nova prática que pode ser utilizada em uma plataforma de big data (alertas de escalonamento automático), bem como uma barreira que pode inibir sua adoção adequada (complexidade ao acessar fontes de dados multicloud). O estudo também corrobora práticas e barreiras identificadas anteriormente: quatro práticas (uso de ferramentas especializadas de big data, integração da nova plataforma aos sistemas legados, atendimento a legislação de privacidade, e uso de modelagem de processos na documentação técnica), e três barreiras (alto consumo de energia para processar dados não estruturados, não atendimento às necessidades do negócio no momento certo, e atraso no projeto causado por processos burocráticos interdepartamentais). Por fim, como contribuição prática, propomos um plano de ação para remover as principais barreiras que podem impactar o sucesso do escopo do projeto. O projeto gerou excelentes resultados pós-implantação, estimulando mais inovações e avanços. Universidade Nove de Julho - Uninove2024-02-27info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://periodicos.uninove.br/gep/article/view/2467310.5585/gep.v15i1.24673Revista de Gestão e Projetos; v. 15 n. 1 (2024): (jan./abr.); 1-352236-0972reponame:Revista Gestão e Projetos (GeP)instname:Universidade Nove de Julho (UNINOVE)instacron:UNINOVEporhttps://periodicos.uninove.br/gep/article/view/24673/10728Copyright (c) 2024 Revista de Gestão e Projetoshttps://creativecommons.org/licenses/by-nc-sa/4.0info:eu-repo/semantics/openAccessTerlizzi, Marco Alexandrede Oliveira, Felippe Eiji TashiroFrancisco, Eduardo de Rezende2024-02-27T13:44:42Zoai:ojs.periodicos.uninove.br:article/24673Revistahttps://periodicos.uninove.br/gepPRIhttps://periodicos.uninove.br/gep/oaigep@uninove.br || editor@revistagep.org || crismonteiro@uninove.br2236-09722236-0972opendoar:2024-02-27T13:44:42Revista Gestão e Projetos (GeP) - Universidade Nove de Julho (UNINOVE)false
dc.title.none.fl_str_mv Practices and barriers for big data projects: A case study on a large insurance company
Práticas e barreiras em projetos de big data: Um estudo de caso em uma grande seguradora
title Practices and barriers for big data projects: A case study on a large insurance company
spellingShingle Practices and barriers for big data projects: A case study on a large insurance company
Terlizzi, Marco Alexandre
Project management
IT projects
Big data analytics platform
Insurance industry.
Gerenciamento de projetos
Projetos de tecnologia
Plataforma de big data
Indústria de seguros
title_short Practices and barriers for big data projects: A case study on a large insurance company
title_full Practices and barriers for big data projects: A case study on a large insurance company
title_fullStr Practices and barriers for big data projects: A case study on a large insurance company
title_full_unstemmed Practices and barriers for big data projects: A case study on a large insurance company
title_sort Practices and barriers for big data projects: A case study on a large insurance company
author Terlizzi, Marco Alexandre
author_facet Terlizzi, Marco Alexandre
de Oliveira, Felippe Eiji Tashiro
Francisco, Eduardo de Rezende
author_role author
author2 de Oliveira, Felippe Eiji Tashiro
Francisco, Eduardo de Rezende
author2_role author
author
dc.contributor.author.fl_str_mv Terlizzi, Marco Alexandre
de Oliveira, Felippe Eiji Tashiro
Francisco, Eduardo de Rezende
dc.subject.por.fl_str_mv Project management
IT projects
Big data analytics platform
Insurance industry.
Gerenciamento de projetos
Projetos de tecnologia
Plataforma de big data
Indústria de seguros
topic Project management
IT projects
Big data analytics platform
Insurance industry.
Gerenciamento de projetos
Projetos de tecnologia
Plataforma de big data
Indústria de seguros
description The adoption of big data analytics is increasing in every major industry, demanding investments in new projects, technologies, architectures, and processes to allow the integration of big data platforms with legacy systems; however, many organizations have failed to incorporate it effectively into their decision-making processes and project benefits have not been adequately captured. This study aims to further investigate how a big data analytics project can be implemented in insurance companies. A case study was conducted on one of the largest insurance companies in Brazil with interviews and document analysis. The study identified five main practices that were adopted to successfully implement a big data analytics project (implement automatic autoscaling alerts, use specialized big data tools, integrate the platform with legacy systems, comply with privacy legislation, and ensure the documentation of technical architecture using business process modeling), as well as four barriers that prevent its proper adoption (complexity of access to multicloud data sources, high processing requirements of unstructured data analysis, failure to attend to business necessities at the right time, and project delays brought by bureaucratic interdepartmental processes); some of these have not previously been identified. Finally, an action plan to address these issues is presented.
publishDate 2024
dc.date.none.fl_str_mv 2024-02-27
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://periodicos.uninove.br/gep/article/view/24673
10.5585/gep.v15i1.24673
url https://periodicos.uninove.br/gep/article/view/24673
identifier_str_mv 10.5585/gep.v15i1.24673
dc.language.iso.fl_str_mv por
language por
dc.relation.none.fl_str_mv https://periodicos.uninove.br/gep/article/view/24673/10728
dc.rights.driver.fl_str_mv Copyright (c) 2024 Revista de Gestão e Projetos
https://creativecommons.org/licenses/by-nc-sa/4.0
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Copyright (c) 2024 Revista de Gestão e Projetos
https://creativecommons.org/licenses/by-nc-sa/4.0
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Universidade Nove de Julho - Uninove
publisher.none.fl_str_mv Universidade Nove de Julho - Uninove
dc.source.none.fl_str_mv Revista de Gestão e Projetos; v. 15 n. 1 (2024): (jan./abr.); 1-35
2236-0972
reponame:Revista Gestão e Projetos (GeP)
instname:Universidade Nove de Julho (UNINOVE)
instacron:UNINOVE
instname_str Universidade Nove de Julho (UNINOVE)
instacron_str UNINOVE
institution UNINOVE
reponame_str Revista Gestão e Projetos (GeP)
collection Revista Gestão e Projetos (GeP)
repository.name.fl_str_mv Revista Gestão e Projetos (GeP) - Universidade Nove de Julho (UNINOVE)
repository.mail.fl_str_mv gep@uninove.br || editor@revistagep.org || crismonteiro@uninove.br
_version_ 1797052864612270080

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