This process drives improvements across the University by ensuring decisions are supported with the right data at the right time. It involves five core types of work:
Driving data governance policies and procedures that ensure the integrity and quality of data throughout its lifecycle and protect student confidentiality.
Administering surveys, connecting data systems and fulfilling data requests to provide a better understanding of the student journey and to highlight areas for improvement.
Using data to identify patterns, set key performance indicators and drive decision making to increase student engagement, satisfaction and support.
Applying the insights gained from data analysis to allocate resources where they will have the highest impact on the student experience.
Analysing data patterns to predict the student groups that are in the most need of support and providing targetied resources