RevOps Systems & Data Quality Operational

Data Completeness

Data Completeness: Percentage of required fields populated in RevOps systems.

Formula

Completeness = Fields populated / Required fields × 100

Computable definition

The canonical formula in the GASP formula grammar. The MCP server compiles it to SQL over the datasets listed below.

sum(field.populated_field_count) / sum(field.required_field_count)

Unit: percent (the formula yields an unscaled ratio)

Data requirements

Grain: Daily snapshot · Frequency: Daily · Aggregation: snapshot (day) · Staged: no · Main source: CRM.

Field	Dataset	Type
`populated_field_count`	crm_record	integer
`required_field_count`	crm_record	integer
`snapshot_date`	crm_record	date

Example SQL (Postgres)

SELECT (CAST((SELECT COALESCE(SUM(populated_field_count), 0) FROM crm_record WHERE snapshot_date = :period_end) AS DOUBLE PRECISION) / NULLIF((SELECT COALESCE(SUM(required_field_count), 0) FROM crm_record WHERE snapshot_date = :period_end), 0)) AS data_completeness

From an agent: with the GASP MCP server, call lookup_metric({ "name": "Data Completeness" }) or generate_query({ "metric": "Data Completeness", "adapter": "<your adapter JSON>" }).

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