Data Engineering, Data Quality, Data Governance, Data, Analytics.
run books for data quality — if you’re in a larger team, include clear steps around addressing each data quality dimension so it’s clear for everyone. For example, if the Timeliness score is low, you can recommend steps such as adding a dbt source freshness check or an automated freshness monitor.