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Resumo(s)
This project work explores the application of Business Intelligence (BI) solution to improve the
management and operational efficiency of a sports club's medical clinic. In the context of the
professional sports sector, where the health of athletes and effective recovery from injuries
are crucial to sporting performance, this study addresses the growing need for data-driven
decision-making in clinical environments. Design Science Research methodology was used to
develop a BI analytical relational model, using the Microsoft Fabric platform and the Power BI
tool. The model was designed to process and analyse clinical data a sports organisation. The
solution includes a relational data model based on a star schema and a set of interactive
dashboards tailored to the main clinical, technical and management needs. These visual tools
allow stakeholders to identify the most frequent injuries by sport, analyse average recovery
times, monitor the volume of medical consultations and detect data classification problems.
The study demonstrates how BI can support prevention strategies, assess and optimise
resource allocation and streamline rehabilitation planning, through descriptive and
prescriptive analyses. The results show a significant improvement in access to information and
in the operational transparency of the clinic, as well as highlighting the potential for future
research and expansion of the application of BI in sports medicine. This research contributes
to filling the gap in the literature on BI in the clinical-sports context, offering a replicable model
that combines technology with clinical management, promoting the well-being of athletes and
organisational efficiency.
Descrição
Dissertation presented as the partial requirement for obtaining a Master's degree in Information Management, specialization in Business Intelligence
Palavras-chave
Business Intelligence ETL Microsoft Fabric Dashboard Sport Medical Clinic
