Giving Staff What They Want - and What They Don't Know They Can Want: Custom Analytics with A4L
IAN HOLDER | CHARLES STURT UNIVERSITY
To extend analytics understanding and capability of staff beyond the integrated A4L reports, CSU has trialed various representations of A4L data, within and outside Pyramid, to present both analytics staff have requested, and analytics they didn't know they could request. In time we hope to make the most popular of these manual reports automated and instantly available to all. This presentation will explore the process we are undertaking and visualisations we are creating, seeking feedback from you, our peers, as to your thoughts.