This presentation discusses the process of developing institutional level analytics and data presentation facilities. Funded by the Technological Sector Advancement Fund (TSAF), the authors have been leading a team creating learning analytics to improve the student experience by optimising student support channels and creating learning analytics to support the student journey and allow the university to provide early interventions in a timely fashion where required.

This project brings together technical, administrative and academic aspects to examine what is required of an institutional analytics system to best serve all stakeholders within the University. The project, building on previous work, has shown that technically, many exciting possibilities exist, some driven by machine learning, for identifying students who would benefit from timely intervention. The presentation shows how Microsoft Fabric can be used to ingest, transform and serve data from a wide variety of sources to the chosen audience.

The ability to present this information raises many practical and ethical questions about what to do. This leads us to ask, now that we can present our data in such a powerful way, what do we do next - whose job is it anyway?