Data you can trust is essential for informed decision-making. This session focuses on measuring, managing, and improving data quality using industry best practices, ensuring data remains accurate, complete, and reliable across its lifecycle.

NOTE: All Session Times are in Mountain Standard Time (MST).

Led by Dan Myers

Dan Myers (MBA, CDMP, IQCP) is Principal at DQMatters, a data strategy consulting firm helping organizations strengthen Information Quality and Data Governance for AI-driven environments. He brings deep experience leading data teams and designing scalable data governance programs, including enterprise data architecture and quality initiatives at Apple, Farmers Insurance, and other organizations.

Dan is the creator of the DQJumpstart Master Class, recognized for its hands-on, business-focused approach to data quality improvement, and author of the forthcoming book Data Quality Techniques (July 2026). He has worked across U.S. and international contexts, including public and private sector engagements in Japan, and earned his MBA from the USC Marshall School of Business.