Implementation of a business intelligence system in a public institution

Detalhes bibliográficos
Autor(a) principal: Teixeira, Daniel Leite
Data de Publicação: 2022
Tipo de documento: Dissertação
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10362/145707
Resumo: Project Work 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 Implementation of a business intelligence system in a public institutionBusiness AnalyticsBusiness IntelligenceData WarehousingData VisualizationProject Work presented as the partial requirement for obtaining a Master's degree in Information Management, specialization in Knowledge Management and Business IntelligenceTechnology is capable to support companies to reach their goals by making use data to take advantages from its analysis. Concerning public institutions, it is meaningful to deliver high-quality services and products to society, and technology may lead the organizations to a more efficient service provision. The purpose of this project is the implementation of a business intelligence system in Consultoria Jurídica da União (CJU) [Consultancy Office], the institution responsible for analyzing bidding processes in Brazil. The solution proposed by this work aims to store the business data and provide an analytical tool to display information in dashboards to provide insights to stakeholders, analyzing data trends and tendencies, preventing future unnecessary events, identifying best practices, to finally improve the public tenders to a better application of public funds and provide better services to society. To reach this project main objective, the technology that surrounds the BI system to be implemented includes the development of a scalable data warehouse to store the organization data and its schema modelling, the extraction-transform-load method to populate the data warehouse tables, and create the analytical tool, named dashboard, to answer the business needs providing the institution information. This business intelligence system intends to improve the legal bidding process in public agencies by making use of technology.Neto, Miguel de Castro Simões FerreiraBatista, Luís Pedro LopesRUNTeixeira, Daniel Leite2022-11-22T17:08:29Z2022-10-282022-10-28T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisapplication/pdfhttp://hdl.handle.net/10362/145707TID:203103670enginfo: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:RCAAP2024-03-11T05:26:18Zoai:run.unl.pt:10362/145707Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T03:52:13.451662Repositório 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 Implementation of a business intelligence system in a public institution
title Implementation of a business intelligence system in a public institution
spellingShingle Implementation of a business intelligence system in a public institution
Teixeira, Daniel Leite
Business Analytics
Business Intelligence
Data Warehousing
Data Visualization
title_short Implementation of a business intelligence system in a public institution
title_full Implementation of a business intelligence system in a public institution
title_fullStr Implementation of a business intelligence system in a public institution
title_full_unstemmed Implementation of a business intelligence system in a public institution
title_sort Implementation of a business intelligence system in a public institution
author Teixeira, Daniel Leite
author_facet Teixeira, Daniel Leite
author_role author
dc.contributor.none.fl_str_mv Neto, Miguel de Castro Simões Ferreira
Batista, Luís Pedro Lopes
RUN
dc.contributor.author.fl_str_mv Teixeira, Daniel Leite
dc.subject.por.fl_str_mv Business Analytics
Business Intelligence
Data Warehousing
Data Visualization
topic Business Analytics
Business Intelligence
Data Warehousing
Data Visualization
description Project Work presented as the partial requirement for obtaining a Master's degree in Information Management, specialization in Knowledge Management and Business Intelligence
publishDate 2022
dc.date.none.fl_str_mv 2022-11-22T17:08:29Z
2022-10-28
2022-10-28T00:00:00Z
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/10362/145707
TID:203103670
url http://hdl.handle.net/10362/145707
identifier_str_mv TID:203103670
dc.language.iso.fl_str_mv eng
language eng
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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
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