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Autores
Orientador(es)
Resumo(s)
Tourism is a vital sector in the Algarve region of Portugal, where boat tours to visit natural
attractions like the Benagil caves are a key part of the visitor experience. Providing a highquality service and understanding operational constraints, customer satisfaction, and
environmental impacts are essential for business success. This project focuses on Tridente
Boat Trips, a tour operator based in Armação de Pêra, and aims to process, integrate, and
analyze data collected from internal operational systems, TripAdvisor customer reviews, and
marine weather Application Programming Interfaces (APIs). The objective is to create a
comprehensive Business Intelligence (BI) solution to support data-driven decision-making.
Initially, the collected data was loaded into Azure SQL Database and subsequently migrated
to Microsoft Fabric, where a lakehouse architecture was implemented to structure the data
into raw and transformed layers. Using Microsoft Fabric’s Dataflow Gen2, the data was
cleaned, enriched, and modeled using a dimensional star schema approach. Finally, analytical
dashboards were developed in Power BI, providing insights concerning booking patterns,
operational performance, customer satisfaction, and the impact of sea conditions on tour
execution and cancellations. This project serves as real-world example of how Business
Intelligence platforms can enhance operational understanding and support strategic planning
in Small and medium-sized enterprises (SMEs) within the tourism sector.
Descrição
Dissertation presented as the partial requirement for obtaining a Master's degree in Information Management, specialization in Knowledge Management and Business Intelligence
Palavras-chave
Business Intelligence Small and Medium-sized Enterprises (SME) Tourism Data Management Reporting Fabric SDG 8 - Decent work and economic growth SDG 9 - Industry, innovation and infrastructure SDG 12 - Responsible production and consumption SDG 13 - Climate action
