BI dashboard to empower PAC with near real-time decision support
Autor(a) principal: | |
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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/10362/159740 |
Resumo: | Project Work presented as the partial requirement for obtaining a Master's degree in Information Management, specialization in Information Systems and Technologies Management |
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BI dashboard to empower PAC with near real-time decision supportBusiness IntelligenceDecision SupportReal-time DataAviationData WarehouseData ModelDashboardOperations PerformanceAgileScrumSDG 8 - Decent work and economic growthSDG 9 - Industry, innovation and infrastructureDomínio/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 Information Systems and Technologies ManagementThis master's thesis focuses on the development and implementation of a Business Intelligence (BI) dashboard for an airline company. The objective is to provide a comprehensive data visualization solution that enables real-time monitoring and analysis of key performance indicators (KPIs) in the aviation industry. The research design combines qualitative and quantitative methods. The qualitative approach involves gathering requirements from stakeholders through the Agile methodology and iterative user feedback. The quantitative approach includes data analysis and the construction of a data model and dashboard using MicroStrategy. The data model follows the star schema model, facilitating efficient data integration and optimized query performance. The requirement-gathering process involved capturing relevant KPIs and dimensions from existing reports and functional requirements from stakeholders. These requirements were categorized into topics such as general requirements, on-time performance (OTP), crew requirements, cancelled legs, aircraft on the ground (AOGs), maintenance, and spares. The results section showcases the developed BI dashboard, emphasizing the dashboard design, selected KPIs, and visualizations. The user interface offers intuitive navigation and interactive features to facilitate data exploration and decision-making. User testing and feedback were incorporated to improve the dashboard's usability and effectiveness. Furthermore, the physical data model based on the star schema model contributes to query performance optimization, meeting the requirement of response times below 5 seconds for live dashboard usage. The use of best practices and methodologies, particularly those advocated by Kimball and Caserta, enhances the data modelling process. In conclusion, this master's thesis project presents a business intelligence dashboard tailored for the airline industry. By leveraging the power of data visualization and analytics, the dashboard empowers stakeholders to make informed decisions and gain valuable insights into various aspects of airline operations. The research contributes to the field of information management by showcasing the application of agile development, star schema modelling, and user-centric design in developing a robust BI solution for aviation.Naranjo-Zolotov, Mijail JuanovichRUNSoares, Ricardo Jorge Bento2023-11-09T17:44:22Z2023-10-232023-10-23T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisapplication/pdfhttp://hdl.handle.net/10362/159740TID:203383419enginfo: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:RCAAP2024-03-11T05:42:12Zoai:run.unl.pt:10362/159740Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T03:57:41.325791Repositório 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 |
BI dashboard to empower PAC with near real-time decision support |
title |
BI dashboard to empower PAC with near real-time decision support |
spellingShingle |
BI dashboard to empower PAC with near real-time decision support Soares, Ricardo Jorge Bento Business Intelligence Decision Support Real-time Data Aviation Data Warehouse Data Model Dashboard Operations Performance Agile Scrum SDG 8 - Decent work and economic growth SDG 9 - Industry, innovation and infrastructure Domínio/Área Científica::Ciências Naturais::Ciências da Computação e da Informação |
title_short |
BI dashboard to empower PAC with near real-time decision support |
title_full |
BI dashboard to empower PAC with near real-time decision support |
title_fullStr |
BI dashboard to empower PAC with near real-time decision support |
title_full_unstemmed |
BI dashboard to empower PAC with near real-time decision support |
title_sort |
BI dashboard to empower PAC with near real-time decision support |
author |
Soares, Ricardo Jorge Bento |
author_facet |
Soares, Ricardo Jorge Bento |
author_role |
author |
dc.contributor.none.fl_str_mv |
Naranjo-Zolotov, Mijail Juanovich RUN |
dc.contributor.author.fl_str_mv |
Soares, Ricardo Jorge Bento |
dc.subject.por.fl_str_mv |
Business Intelligence Decision Support Real-time Data Aviation Data Warehouse Data Model Dashboard Operations Performance Agile Scrum SDG 8 - Decent work and economic growth SDG 9 - Industry, innovation and infrastructure Domínio/Área Científica::Ciências Naturais::Ciências da Computação e da Informação |
topic |
Business Intelligence Decision Support Real-time Data Aviation Data Warehouse Data Model Dashboard Operations Performance Agile Scrum SDG 8 - Decent work and economic growth SDG 9 - Industry, innovation and infrastructure 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 Information Systems and Technologies Management |
publishDate |
2023 |
dc.date.none.fl_str_mv |
2023-11-09T17:44:22Z 2023-10-23 2023-10-23T00:00:00Z |
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/10362/159740 TID:203383419 |
url |
http://hdl.handle.net/10362/159740 |
identifier_str_mv |
TID:203383419 |
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 |
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Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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RCAAP |
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RCAAP |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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