In this episode of the Data Reliability Experience, we are joined by Mindy Becker, Director of Data Governance at Right Triangle Consulting, and Shrikant Patil, Chief Product Officer at iceDQ, for a deep dive into data lineage — what it actually is, why it matters more than most teams realize, and what it takes to get it right.
Drawing from over a decade of experience across finance, life insurance, and healthcare governance, and Shrikant’s 15+ years in data management and product leadership, the discussion explores how data lineage and data quality work hand-in-hand to build organizations that can actually trust their data — and their AI.
Key Topics Covered
- Why data quality and data lineage are two halves of the same problem, not separate issues
- How solid lineage turns hours of firefighting into minutes of root-cause analysis
- Where to start building lineage without trying to document the entire enterprise at once
- How AI is being used to accelerate lineage documentation and surface business meaning
- What “business lineage” really means, and why everyone defines it differently
- Why AI has made data governance more business-critical than ever before
- How platforms like iceDQ combine knowledge graphs, data quality, and lineage into one context layer for trustworthy AI
About the Guest – Mindy Becker
Mindy Becker is Director of Data Governance at Right Triangle Consulting, where she leads initiatives that improve data quality, trust, and business value. She brings over a decade of experience across finance, life insurance, and healthcare, with a track record of implementing governance frameworks, optimizing data integration, and delivering analytics solutions that help organizations make better decisions. Mindy is also deeply committed to giving back, mentoring future professionals through PrepKC and supporting community organizations including the American Cancer Society Hope Lodge, Firsthand, and the Junior League of Kansas City.