A Business Intelligence Solution For Ticket Sales Management In Sintra’s UNESCO Cultural Heritage

Detalhes bibliográficos
Autor(a) principal: Song, Yu
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/10362/149813
Resumo: Project Work presented as the partial requirement for obtaining a Master's degree in Data Science and Advanced Analytics, specialization in Business Analytics
id RCAP_7e1a37e2d7616c67cf899855e3f98e29
oai_identifier_str oai:run.unl.pt:10362/149813
network_acronym_str RCAP
network_name_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
repository_id_str 7160
spelling A Business Intelligence Solution For Ticket Sales Management In Sintra’s UNESCO Cultural HeritageTourism managementData visualizationBusiness IntelligenceTicket managementCultural tourismProject Work presented as the partial requirement for obtaining a Master's degree in Data Science and Advanced Analytics, specialization in Business AnalyticsThe tourism industry has experienced huge growth of business volume in recent years leading to a rapid increase in the amount of data being generated. To leverage these data, tourism companies can greatly benefit from incorporating business intelligence tools in their daily operations, which can contribute to the creation of new value and to sustainable growth. In this work, we develop a business intelligence solution for Parques de Sintra - Monte da Lua (PSML), a public company that manages ticket sales for some of the most visited cultural attractions in Portugal, which are part of the UNESCO Cultural Heritage. We optimize their current transactional database structure for data analysis by following a dimensional modelling methodology. Then, we develop three dashboards on top of the resultant model. Each dashboard aggregates different visuals and provides information from different perspectives of the business, namely sales, attractions, and customers. We analyse the layout and visualization capabilities of the dashboards and provide insights regarding data interpretation. With this work, we provide the PSML team with a tool that can aid in the quick monitoring of their business at different levels and has the potential to inform decisions and strategies in the areas of sales, logistics, advertising, and customer satisfaction.Neto, Miguel de Castro Simões FerreiraJardim, João Bruno Morais de SousaRUNSong, Yu2023-02-28T17:05:42Z2023-01-262023-01-26T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisapplication/pdfhttp://hdl.handle.net/10362/149813TID:203238966enginfo: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:RCAAP2024-03-11T05:31:40Zoai:run.unl.pt:10362/149813Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T03:53:52.689937Repositório 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 A Business Intelligence Solution For Ticket Sales Management In Sintra’s UNESCO Cultural Heritage
title A Business Intelligence Solution For Ticket Sales Management In Sintra’s UNESCO Cultural Heritage
spellingShingle A Business Intelligence Solution For Ticket Sales Management In Sintra’s UNESCO Cultural Heritage
Song, Yu
Tourism management
Data visualization
Business Intelligence
Ticket management
Cultural tourism
title_short A Business Intelligence Solution For Ticket Sales Management In Sintra’s UNESCO Cultural Heritage
title_full A Business Intelligence Solution For Ticket Sales Management In Sintra’s UNESCO Cultural Heritage
title_fullStr A Business Intelligence Solution For Ticket Sales Management In Sintra’s UNESCO Cultural Heritage
title_full_unstemmed A Business Intelligence Solution For Ticket Sales Management In Sintra’s UNESCO Cultural Heritage
title_sort A Business Intelligence Solution For Ticket Sales Management In Sintra’s UNESCO Cultural Heritage
author Song, Yu
author_facet Song, Yu
author_role author
dc.contributor.none.fl_str_mv Neto, Miguel de Castro Simões Ferreira
Jardim, João Bruno Morais de Sousa
RUN
dc.contributor.author.fl_str_mv Song, Yu
dc.subject.por.fl_str_mv Tourism management
Data visualization
Business Intelligence
Ticket management
Cultural tourism
topic Tourism management
Data visualization
Business Intelligence
Ticket management
Cultural tourism
description Project Work presented as the partial requirement for obtaining a Master's degree in Data Science and Advanced Analytics, specialization in Business Analytics
publishDate 2023
dc.date.none.fl_str_mv 2023-02-28T17:05:42Z
2023-01-26
2023-01-26T00:00:00Z
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/10362/149813
TID:203238966
url http://hdl.handle.net/10362/149813
identifier_str_mv TID:203238966
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
_version_ 1799138128951246848

Registros relacionados