This session is part of the HESPA Showcasing Good Practice Week 2025. The aim of this week is to provide a space for our members to share with each other the work they have done which they feel has been a particular success, and to celebrate and promote the hard work of planners in the HE sector.
Synopsis:
This session will explore the integration of the HESA Engagement dataset into internal reporting, focusing on the data modeling techniques used to structure the data effectively. It will provide an overview of how the dataset has been incorporated into institutional reporting frameworks and explain the rationale behind employing a Many-to-One relationship approach to link engagement records with HESA’s valid entries.
Attendees will gain an understanding of the HESA Engagement dataset, including its structure, purpose, and reporting implications. The session will delve into the data modeling approach, highlighting how separating the dataset into distinct entities and establishing Many-to-One relationships improves data integrity and usability. In addition, the session will address technical and practical challenges encountered during implementation and share insights into how these were resolved. The discussion will also extend to the strategic benefits of this integration, demonstrating how a well-structured data model can enhance institutional reporting, analysis, and decision-making. This session will be particularly relevant for data professionals, planners, and analysts who work with HESA data and are looking to improve the efficiency and accuracy of their internal reporting processes.
Speakers:
Rayees Saidalavi, Assistant Planning and Data Analyst, University of Roehampton
Niklas Jakobsen, Data Analyst, University of Roehampton
Tagged : Data Evaluation and Visualisation, Learning Analytics
Type : Meeting