A practical look at a Data Quality Framework

Data quality underpins every aspect of an organisation’s decision-making, operations, and now, the effectiveness of AI systems. Yet poor data quality remains one of the most common, and costly, challenges businesses face.

This talk takes a pragmatic look at data quality: what drives it, the hidden costs of neglecting it, and how to build a structured approach to address it.

Johan will share practical insights into applying a data quality framework, blending technical considerations with a clear business perspective to help organisations move from reactive fixes to sustainable value creation.