Data Observability is not a tool: understanding data quality at the source, in transformations and in governance ·
Data observability tools promise to fix your data quality, but buying a tool won't solve problems you don't understand. This post breaks down where data quality actually breaks: in source systems (completeness, consistency, reliability), during transformations (integrity, accuracy), and in governance (documentation, ownership). Understand the root causes before you reach for a solution.