Why This Matters
Metadata is the invisible layer that makes data usable. In mid-market companies, metadata is often absent or informal — definitions live in people’s heads, transformation rules are buried in spreadsheets, and no one records when data was last refreshed. This creates a fragile environment where reporting accuracy depends on institutional memory. Building proper metadata is a prerequisite for scaling financial reporting, enabling self-service analytics, and preparing data for AI — because none of these work if the system does not know what the data means.
Where This Fits
This term sits within the Data Governance & AI Readiness area of Performance & Control.