About

Most data quality initiatives don’t fail due to weak tools or technology, they fail because they lack a clear connection to business value. We spend a lot of time discussing how to implement data quality and which tools are good, but rarely pause to ask ‘why it should matter’, ‘who’ should truly own it or ‘how’ should we communicate about data with everyone.

In this session, I’ll share practical frameworks and real-world lessons from my own experience and book Data Quality ROI, exploring questions like: Why does business engagement in DQ remain elusive? Who should own DQ – IT or the business? And how can we bridge that gap?

Takeaways:

• Diagnose the Disconnect: Identify the root causes of the friction between Business and IT regarding data ownership, and learn why traditional “command and control” governance often fails to engage stakeholders.
• Simplify the Narrative: Learn to apply practical “Engagement Mantras” that translate technical data quality metrics into compelling business stories, ensuring your initiatives resonate with non-technical leadership.
• Prove the Value: Walk away with a framework to reframe Data Quality from a technical cost center into a strategic asset, capable of demonstrating measurable ROI and improved decision-making confidence.