Development of a Business Intelligence Conceptual Model for Waste Collection and Transportation Monitoring
Autor(a) principal: | |
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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/10362/134985 |
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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Development of a Business Intelligence Conceptual Model for Waste Collection and Transportation MonitoringSmart CitySmart EnvironmentBusiness IntelligenceSolid Waste ManagementWaste CollectionProject Work presented as the partial requirement for obtaining a Master's degree in Information Management, specialization in Knowledge Management and Business IntelligenceThe need to answer ever-increasing urban challenges and the integration of new technologies in every aspect of our daily lives prompt the creation of the Smart City concept. These new technologies gather an enormous quantity of data that reveals interesting patterns about cities, enabling opportunities to enhance public decision-making and problem-solving. One critical aspect of urban life is its relationship with the environment. There’s a real need to work on a unified global approach on how to tackle issues such as pollution and waste management, but there is not a single framework or guideline to handle these new data gathered. This work focuses on structuring a framework of analysis for waste collection and transportation purposes. The objective was to develop monitoring dashboards for Departamento de Higienização Urbana (DMHU), using proven metrics of efficiency and effectiveness, result of a comprehensive literature review. A BI framework was developed using Power BI to perform efficiency-based analysis of waste collection circuits – the main process of DMHU. The receptivity of DMHU towards the solution presented seems to indicate that a BI solution is indeed valuable for complex monitoring problems such as solid waste management.Neto, Miguel de Castro Simões FerreiraRUNOliveira, João Pedro Cabeleira Claro de2022-03-22T16:07:48Z2022-02-032022-02-03T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisapplication/pdfhttp://hdl.handle.net/10362/134985TID:202969690enginfo: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:RCAAP2024-03-11T05:13:24Zoai:run.unl.pt:10362/134985Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T03:48:16.746487Repositório 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 |
Development of a Business Intelligence Conceptual Model for Waste Collection and Transportation Monitoring |
title |
Development of a Business Intelligence Conceptual Model for Waste Collection and Transportation Monitoring |
spellingShingle |
Development of a Business Intelligence Conceptual Model for Waste Collection and Transportation Monitoring Oliveira, João Pedro Cabeleira Claro de Smart City Smart Environment Business Intelligence Solid Waste Management Waste Collection |
title_short |
Development of a Business Intelligence Conceptual Model for Waste Collection and Transportation Monitoring |
title_full |
Development of a Business Intelligence Conceptual Model for Waste Collection and Transportation Monitoring |
title_fullStr |
Development of a Business Intelligence Conceptual Model for Waste Collection and Transportation Monitoring |
title_full_unstemmed |
Development of a Business Intelligence Conceptual Model for Waste Collection and Transportation Monitoring |
title_sort |
Development of a Business Intelligence Conceptual Model for Waste Collection and Transportation Monitoring |
author |
Oliveira, João Pedro Cabeleira Claro de |
author_facet |
Oliveira, João Pedro Cabeleira Claro de |
author_role |
author |
dc.contributor.none.fl_str_mv |
Neto, Miguel de Castro Simões Ferreira RUN |
dc.contributor.author.fl_str_mv |
Oliveira, João Pedro Cabeleira Claro de |
dc.subject.por.fl_str_mv |
Smart City Smart Environment Business Intelligence Solid Waste Management Waste Collection |
topic |
Smart City Smart Environment Business Intelligence Solid Waste Management Waste Collection |
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 |
2022-03-22T16:07:48Z 2022-02-03 2022-02-03T00:00:00Z |
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/10362/134985 TID:202969690 |
url |
http://hdl.handle.net/10362/134985 |
identifier_str_mv |
TID:202969690 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
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info:eu-repo/semantics/openAccess |
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openAccess |
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application/pdf |
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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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