Student Intervention Guide

Analytics is invaluable for answering questions, but impact can only be achieved by acting on the answers. This guide outlines some of the key considerations for developing effective data-informed student interventions.

Guide to Data Quality

Data quality is a major challenge for most institutions as they begin to develop a data-enabled approach, but it is a critical early step. Any answers generated by your data will only be as accurate as the data itself. This resources highlights some of the key steps to ensuring the quality of the data you have access to.

Assessing the Success of Analytics-led Interventions

Analytics is an evidence-based methodology that prizes empirical information. As such it is appropriate that institutions should be able to provide an evidential foundation for the success of analytics itself. HEIs should seek to iteratively assess the effectiveness of their analytics strategy to ensure that it is having a positive impact on students’ experience. This document briefly discusses some of the considerations and challenges that should be born in mind when institutions are attempting analytical self-reflection.