Business intelligence to support NOVA IMS academic services BI system

Detalhes bibliográficos
Autor(a) principal: Ribeiro, João Sequeira Marques
Data de Publicação: 2017
Tipo de documento: Dissertação
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10362/19908
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 Business intelligence to support NOVA IMS academic services BI systemBusiness IntelligenceStar SchemaMicrosoft Excel Power PivotProject Work presented as the partial requirement for obtaining a Master's degree in Information Management, specialization in Knowledge Management and Business IntelligenceKimball argues that Business Intelligence is one of the most important assets of any organization, allowing it to store, explore and add value to the organization’s data which will ultimately help in the decision making process. Nowadays, some organizations and, in this specific case, some schools are not yet transforming data into their full potential and business intelligence is one of the most known tools to help schools in this issue, seen as some of them are still using out-dated information systems, and do not yet apply business intelligence techniques to their increasing amounts of data so as to turn it into useful information and knowledge. In the present report, I intend to analyse the current NOVA IMS academic services data and the rationales behind the need to work with this data, so as to propose a solution that will ultimately help the school board or the academic services to make better-supported decisions. In order to do so, it was developed a Data Warehouse that will clean and transform the source database. Another important step to help the academic services is to present a series of reports to discover information in the decision making process.Henriques, Roberto André PereiraNeves, Jorge Nélson Gouveia de SousaRUNRibeiro, João Sequeira Marques2017-01-25T15:21:57Z2017-01-092017-01-09T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisapplication/pdfhttp://hdl.handle.net/10362/19908TID:201551675enginfo: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:RCAAP2024-03-11T04:02:33Zoai:run.unl.pt:10362/19908Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T03:25:47.596648Repositório 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 Business intelligence to support NOVA IMS academic services BI system
title Business intelligence to support NOVA IMS academic services BI system
spellingShingle Business intelligence to support NOVA IMS academic services BI system
Ribeiro, João Sequeira Marques
Business Intelligence
Star Schema
Microsoft Excel Power Pivot
title_short Business intelligence to support NOVA IMS academic services BI system
title_full Business intelligence to support NOVA IMS academic services BI system
title_fullStr Business intelligence to support NOVA IMS academic services BI system
title_full_unstemmed Business intelligence to support NOVA IMS academic services BI system
title_sort Business intelligence to support NOVA IMS academic services BI system
author Ribeiro, João Sequeira Marques
author_facet Ribeiro, João Sequeira Marques
author_role author
dc.contributor.none.fl_str_mv Henriques, Roberto André Pereira
Neves, Jorge Nélson Gouveia de Sousa
RUN
dc.contributor.author.fl_str_mv Ribeiro, João Sequeira Marques
dc.subject.por.fl_str_mv Business Intelligence
Star Schema
Microsoft Excel Power Pivot
topic Business Intelligence
Star Schema
Microsoft Excel Power Pivot
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 2017
dc.date.none.fl_str_mv 2017-01-25T15:21:57Z
2017-01-09
2017-01-09T00:00:00Z
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/10362/19908
TID:201551675
url http://hdl.handle.net/10362/19908
identifier_str_mv TID:201551675
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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repository.mail.fl_str_mv
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