Assessing business intelligence & analytics maturity in Portuguese companies with TDWI model

Detalhes bibliográficos
Autor(a) principal: Borges, Fernanda Coelho
Data de Publicação: 2023
Tipo de documento: Dissertação
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10362/160418
Resumo: Dissertation presented as the partial requirement for obtaining a Master's degree in Information Management, specialization in Knowledge Management and Business Intelligence
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spelling Assessing business intelligence & analytics maturity in Portuguese companies with TDWI modelBusiness IntelligenceAnalyticsMaturity ModelsTDWI Maturity ModelPortuguese companiesSDG 4 - Quality educationSDG 8 - Decent work and economic growthDomínio/Área Científica::Ciências Naturais::Ciências da Computação e da InformaçãoDissertation presented as the partial requirement for obtaining a Master's degree in Information Management, specialization in Knowledge Management and Business IntelligenceThe adoption of Business Intelligence and Analytics solutions is becoming increasingly common among companies, because it has already been proven that they can efficiently support the decision-making process and ensure a data-driven culture. In Portugal, this Analytics solutions usage is widespread, especially in the Lisbon Metropolitan Area (AML), where the majority of the country's companies are located. However, it is perceived that certain companies may not be fully extracting the existing potential of these solutions because it is not enough to simply use these solutions, but rather to understand where they are leading the company. Thus, there is a need to assess the existing Analytics systems in these Portuguese companies and understand how advanced they are and where they can improve. Therefore, this study aims to evaluate the maturity level of Analytics systems in companies from different sectors, sizes, and revenue, all located in the AML. For this purpose, quantitative research was conducted using the Survey method. To assess the maturity level, the TDWI model was applied, which analyzes the companies' Business Intelligence systems from the perspective of 5 different dimensions based on the responses to a questionnaire consisting of 52 questions. According to the final score of the survey, companies are classified into five possible stages: Nascent, Early, Established, Mature, or Advanced/Visionary. The questionnaire received responses from 53 different companies, with the majority of them classified as "Established" in terms of maturity level. The dimension that performed the best was Organizational, while the Analytics dimension obtained the lowest result. The questionnaire results showed that, despite the systematic adoption of Analytics tools by most companies, there is a shortage of workforce and an urgent need for investments in training programs focused on this area, both at the academic and business levels. The Analytics dimension, although not yielding unfavorable results, clearly indicates areas for improvement, particularly in terms of taking greater advantage of Predictive and Prescriptive Analysis. The application of the TDWI model in a specific company or sector, the use of other maturity models applied in the same context as this research and the combination of the TDWI model with qualitative methods are suggestions for future academic work.Côrte-Real, Nadine Evangelista de PinhoRUNBorges, Fernanda Coelho2023-11-24T11:40:48Z2023-10-252023-10-25T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisapplication/pdfhttp://hdl.handle.net/10362/160418TID:203390784enginfo:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2024-03-11T05:43:07Zoai:run.unl.pt:10362/160418Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T03:58:01.941234Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv Assessing business intelligence & analytics maturity in Portuguese companies with TDWI model
title Assessing business intelligence & analytics maturity in Portuguese companies with TDWI model
spellingShingle Assessing business intelligence & analytics maturity in Portuguese companies with TDWI model
Borges, Fernanda Coelho
Business Intelligence
Analytics
Maturity Models
TDWI Maturity Model
Portuguese companies
SDG 4 - Quality education
SDG 8 - Decent work and economic growth
Domínio/Área Científica::Ciências Naturais::Ciências da Computação e da Informação
title_short Assessing business intelligence & analytics maturity in Portuguese companies with TDWI model
title_full Assessing business intelligence & analytics maturity in Portuguese companies with TDWI model
title_fullStr Assessing business intelligence & analytics maturity in Portuguese companies with TDWI model
title_full_unstemmed Assessing business intelligence & analytics maturity in Portuguese companies with TDWI model
title_sort Assessing business intelligence & analytics maturity in Portuguese companies with TDWI model
author Borges, Fernanda Coelho
author_facet Borges, Fernanda Coelho
author_role author
dc.contributor.none.fl_str_mv Côrte-Real, Nadine Evangelista de Pinho
RUN
dc.contributor.author.fl_str_mv Borges, Fernanda Coelho
dc.subject.por.fl_str_mv Business Intelligence
Analytics
Maturity Models
TDWI Maturity Model
Portuguese companies
SDG 4 - Quality education
SDG 8 - Decent work and economic growth
Domínio/Área Científica::Ciências Naturais::Ciências da Computação e da Informação
topic Business Intelligence
Analytics
Maturity Models
TDWI Maturity Model
Portuguese companies
SDG 4 - Quality education
SDG 8 - Decent work and economic growth
Domínio/Área Científica::Ciências Naturais::Ciências da Computação e da Informação
description Dissertation presented as the partial requirement for obtaining a Master's degree in Information Management, specialization in Knowledge Management and Business Intelligence
publishDate 2023
dc.date.none.fl_str_mv 2023-11-24T11:40:48Z
2023-10-25
2023-10-25T00:00:00Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/masterThesis
format masterThesis
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/10362/160418
TID:203390784
url http://hdl.handle.net/10362/160418
identifier_str_mv TID:203390784
dc.language.iso.fl_str_mv eng
language eng
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.source.none.fl_str_mv reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron:RCAAP
instname_str Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron_str RCAAP
institution RCAAP
reponame_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
collection Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
repository.name.fl_str_mv Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
repository.mail.fl_str_mv
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