Universities are investing heavily in AI, analytics and digital transformation, yet many continue to operate across fragmented systems, inconsistent definitions and multiple versions of the truth. This session explores why AI success depends upon strong data foundations and shares practical lessons from establishing data governance, improving data quality, creating trusted reporting and developing the organisational capability needed to turn information into action.