One of the biggest issues faced in the tertiary data sector is the inconsistency of data systems between tertiaries. Over time, each tertiary has evolved in its own direction with no unified data strategies, and this has resulted in the use of different student management systems, different timetable software, and many other different systems. This creates problems when trying to surface analytics out of these systems as each tertiary requires a custom solution, costing large amounts of time and money.

LIFT is a tertiary data platform which provides an agnostic database model which allows us to build industry best practice reporting and analysis without having to re-invent it for each tertiary. Additional benefits include a normalized data structure across large portions of tertiary data allowing us to develop and test machine learning models while utilizing cross-sector datasets, providing even higher levels of analytics than at the tertiary level.