This panel will discuss data quality programs and than their challenges in 2026 with questions such as: How has the meaning of “quality” changed for both technical teams and business leaders? What metrics or KPIs have you found most effective for demonstrating real-world impact of data quality? How do you prioritize data quality initiatives when resources are limited? What gets attention first? What role should automation play in improving and monitoring data quality?

We will focus on what the answers are in 2026 and how they are different than when we started doing this decades ago.

Panel Discussions