Business Intelligence systems in academia: A Practical Application in Universidade Católica Portuguesa

Detalhes bibliográficos
Autor(a) principal: Oliveira, Pedro Manuel dos Santos Ferreira de Brito
Data de Publicação: 2021
Tipo de documento: Dissertação
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10362/123243
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 systems in academia: A Practical Application in Universidade Católica PortuguesaAnalyticsUniversity Data WarehouseBusiness IntelligenceDimensional ModellingData-Driven Decision MakingProject Work presented as the partial requirement for obtaining a Master's degree in Information Management, specialization in Knowledge Management and Business IntelligenceDigital transformation, analytics, instinct information are buzzwords that sum up the contemporary age we live in, where there is an exponential need for information that is readily accessible, correct, and available. Universities worldwide feel this pressure of a data-driven approach that requires the power of a centralized analytical platform that Business Intelligence (BI) solutions provide, in order to adjust their current market offer based on the insights provided. In this project report it was discussed an implementation of a BI prototype in an academic institution, more specifically at Universidade Católica Portuguesa (UCP). The main goal was to migrate the current approach of using transactional databases to an analytical solution. This allowed the University (1) to better understand key performance indicators that affect main competitive areas, such as students (enrolments, graduates), and (2) to apply these insights to their strategic business goals. To achieve such endeavours, this BI project at UCP followed an adapted Business Intelligence Roadmap methodology. The input data came from transactional databases and Excel files. Microsoft BI solutions were the main source of technology to deal with the ETL pipeline and report development. In terms of results, this project allowed UCP to take another step towards a data-driven decision-making mindset, with a system that can help in the identified business needs, but also with implications that can be further explored outside of UCP boundaries, by providing a practical end-to-end use case, that can support other Universities environments and projects.Cabral, Pedro da Costa BritoRUNOliveira, Pedro Manuel dos Santos Ferreira de Brito2021-08-27T16:59:55Z2021-07-292021-07-29T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisapplication/pdfhttp://hdl.handle.net/10362/123243TID:202758486engmetadata only accessinfo: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:RCAAP2024-03-11T05:04:39Zoai:run.unl.pt:10362/123243Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T03:45:00.139164Repositório 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 systems in academia: A Practical Application in Universidade Católica Portuguesa
title Business Intelligence systems in academia: A Practical Application in Universidade Católica Portuguesa
spellingShingle Business Intelligence systems in academia: A Practical Application in Universidade Católica Portuguesa
Oliveira, Pedro Manuel dos Santos Ferreira de Brito
Analytics
University Data Warehouse
Business Intelligence
Dimensional Modelling
Data-Driven Decision Making
title_short Business Intelligence systems in academia: A Practical Application in Universidade Católica Portuguesa
title_full Business Intelligence systems in academia: A Practical Application in Universidade Católica Portuguesa
title_fullStr Business Intelligence systems in academia: A Practical Application in Universidade Católica Portuguesa
title_full_unstemmed Business Intelligence systems in academia: A Practical Application in Universidade Católica Portuguesa
title_sort Business Intelligence systems in academia: A Practical Application in Universidade Católica Portuguesa
author Oliveira, Pedro Manuel dos Santos Ferreira de Brito
author_facet Oliveira, Pedro Manuel dos Santos Ferreira de Brito
author_role author
dc.contributor.none.fl_str_mv Cabral, Pedro da Costa Brito
RUN
dc.contributor.author.fl_str_mv Oliveira, Pedro Manuel dos Santos Ferreira de Brito
dc.subject.por.fl_str_mv Analytics
University Data Warehouse
Business Intelligence
Dimensional Modelling
Data-Driven Decision Making
topic Analytics
University Data Warehouse
Business Intelligence
Dimensional Modelling
Data-Driven Decision Making
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 2021
dc.date.none.fl_str_mv 2021-08-27T16:59:55Z
2021-07-29
2021-07-29T00:00:00Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
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dc.identifier.uri.fl_str_mv http://hdl.handle.net/10362/123243
TID:202758486
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language eng
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instacron:RCAAP
instname_str Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
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reponame_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
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