Motorsport teams increasingly rely on data to optimize vehicle performance, improve reliability, and support strategic decisions. For student motorbike racing teams, telemetry, setup and inventory data are generated continuously but often remain fragmented, inconsistently managed and difficult to analyze due to resource constraints and heterogeneous formats. This thesis addresses the challenge of designing and implementing an effective data management solution that enables reliable storage, integration and retrieval of such data. The research follows a structured methodology. First, requirements were elicited through collaboration with team stakeholders, identifying functional needs (e.g.\ easy telemetry access, comparative setup analysis, inventory tracking) and non-functional constraints (low operational overhead, maintainability, cost efficiency).