Immigration in Portugal: Migratory movements and economic impact through a Business Intelligence approach

Detalhes bibliográficos
Autor(a) principal: Martins, Inês Alexandra Durão
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/10362/160417
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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network_name_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
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spelling Immigration in Portugal: Migratory movements and economic impact through a Business Intelligence approachBusiness IntelligenceDashboardMicrosoft Power BIImmigrationSDG 4 - Quality educationSDG 8 - Decent work and economic growthSDG 10 - Reduced inequalitiesDomínio/Área Científica::Ciências Naturais::Ciências da Computação e da InformaçãoProject Work presented as the partial requirement for obtaining a Master's degree in Information Management, specialization in Knowledge Management and Business IntelligenceDue to the fast growth in the number of immigrants in Portugal, there is an increasing need to examine data and values related to the subject, particularly in understanding the relation on the country's economy and the local community. Therefore, it is essential to visualize the official data in a more accessible manner to facilitate decision-making regarding immigration. In line with the global trend of increasing reliance on Business Intelligence (BI) solutions, this project proposes the implementation of a BI solution using Power BI. The initial step involved creating a conceptual model. Followed by an extensive data collection process from multiple sources. Subsequently, various transformations were applied to the collected data to prepare it for further analysis and usage. Finally, a data visualization report was developed, aiming to provide a clear overview of the immigration trends, the geographical distribution of immigrants, their countries of origin, demographic characteristics, and its connection with economy. The objective is to enhance the decision-making process by providing accurate and visually appealing representations of the data. The results obtained from the implementation of the Business Intelligence solution indicated that, overall, it has the potential to be useful for decision-making and supporting studies related to immigration in Portugal. The system offers valuable insights into immigration patterns, enabling to make informed decisions and better understand the implications of immigration on various aspects of society and the economy.Rodrigues, Teresa Maria FerreiraNeto, Miguel de Castro Simões FerreiraRUNMartins, Inês Alexandra Durão2023-11-24T11:35:23Z2023-10-272023-10-27T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisapplication/pdfhttp://hdl.handle.net/10362/160417TID:203393945enginfo: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:10362/160417Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T03:58:01.893622Repositório 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 Immigration in Portugal: Migratory movements and economic impact through a Business Intelligence approach
title Immigration in Portugal: Migratory movements and economic impact through a Business Intelligence approach
spellingShingle Immigration in Portugal: Migratory movements and economic impact through a Business Intelligence approach
Martins, Inês Alexandra Durão
Business Intelligence
Dashboard
Microsoft Power BI
Immigration
SDG 4 - Quality education
SDG 8 - Decent work and economic growth
SDG 10 - Reduced inequalities
Domínio/Área Científica::Ciências Naturais::Ciências da Computação e da Informação
title_short Immigration in Portugal: Migratory movements and economic impact through a Business Intelligence approach
title_full Immigration in Portugal: Migratory movements and economic impact through a Business Intelligence approach
title_fullStr Immigration in Portugal: Migratory movements and economic impact through a Business Intelligence approach
title_full_unstemmed Immigration in Portugal: Migratory movements and economic impact through a Business Intelligence approach
title_sort Immigration in Portugal: Migratory movements and economic impact through a Business Intelligence approach
author Martins, Inês Alexandra Durão
author_facet Martins, Inês Alexandra Durão
author_role author
dc.contributor.none.fl_str_mv Rodrigues, Teresa Maria Ferreira
Neto, Miguel de Castro Simões Ferreira
RUN
dc.contributor.author.fl_str_mv Martins, Inês Alexandra Durão
dc.subject.por.fl_str_mv Business Intelligence
Dashboard
Microsoft Power BI
Immigration
SDG 4 - Quality education
SDG 8 - Decent work and economic growth
SDG 10 - Reduced inequalities
Domínio/Área Científica::Ciências Naturais::Ciências da Computação e da Informação
topic Business Intelligence
Dashboard
Microsoft Power BI
Immigration
SDG 4 - Quality education
SDG 8 - Decent work and economic growth
SDG 10 - Reduced inequalities
Domínio/Área Científica::Ciências Naturais::Ciências da Computação e da Informação
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 2023
dc.date.none.fl_str_mv 2023-11-24T11:35:23Z
2023-10-27
2023-10-27T00:00:00Z
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/10362/160417
TID:203393945
url http://hdl.handle.net/10362/160417
identifier_str_mv TID:203393945
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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