Many organisations fall into the trap of tackling data quality reactively, producing single-use reports and expecting users to rerun them like a game of whack-a-mole. In this session, we’ll challenge that mindset and explore smarter, scalable alternatives.

Through practical examples and accessible tools, I’ll demonstrate how to embed a data quality culture that flags issues early, routes them to the right people, and tracks ongoing trends.

No fancy expensive tools, just practical steps and hard learnt lessons on building a data quality culture and system that has an impact.