Why Data Maturity Models Matter When Implementing AWS Data Catalog?

Travel Insurance09 Jun, 2025Business

Data maturity isn’t abstract jargon—it’s the measurable health of an organization’s data assets. It encompasses quality, governance, accessibility, integration, and literacy. Athena Solutions’ engagements reveal a critical pattern: organizations with low data maturity (scattered silos, inconsistent definitions, poor quality controls) inevitably struggle to extract value from an AWS Data Catalog. The catalog reflects what exists; it cannot fix fundamental flaws in the data itself.