Part 9/11:

Building a Sustainable Data Quality Ecosystem

A layered, architecture-based approach—often exemplified through the medallion architecture (bronze, silver, gold layers)—supports systematic quality checks at each stage. Data quality gates between these layers prevent bad data from propagating downstream, maintaining integrity and transparency.

Crucial to success are:

• Automation: Integrate quality checks within DevOps pipelines, automating validation and enforcement.

• Metrics and Dashboards: Establish KPIs related to accuracy, completeness, and other dimensions, and embed these into organizational performance reviews.

• Ownership and Culture: Assign clear responsibilities, foster ownership, and embed data quality into organizational KPIs to sustain continuous improvement.