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Data Dictionary

A data dictionary is a structured reference document that defines and describes the data elements within a system, database, or reporting environment — including field names, data types, allowed values, business definitions, relationships, and ownership. It serves as the single authoritative source for understanding what each data element means, how it is formatted, and where it originates. In financial reporting, a data dictionary eliminates ambiguity about metric definitions and ensures consistency across reports, systems, and teams.

Why This Matters

Most data quality problems in mid-market companies are not technical — they are definitional. Two departments calculate the same metric differently, a report uses a field that no one fully understands, or a system migration changes a field’s meaning without anyone updating downstream reports. A data dictionary prevents this by creating a single, maintained source of truth for what every data element means. It is foundational infrastructure for any company that wants trustworthy, consistent financial data.

Where This Fits

This term sits within the Data Governance & AI Readiness area of Performance & Control.

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