Data Completeness
Data completeness is the share of a record's expected fields that are actually populated — a key dimension of data quality alongside accuracy and freshness.
What is data completeness?
Data completeness measures how much of a record is filled in. A lead with name, email, title, company, size, industry, and phone is more complete than one with just name and email. Completeness is the most fixable dimension of data quality — if a field is missing, an enrichment provider can usually fill it.
Why it matters
- Routing rules and segmentation break on missing fields
- Personalization gets generic when key context (title, role, industry) is blank
- Dashboards lie when "unknown" is silently excluded from segment counts
How to measure it
- Define the required field set per record type (lead, account, contact)
- Compute % of records with 100% of required fields populated
- Track the trend monthly — sudden drops usually mean a form or integration broke
How TexAu helps
Run waterfall enrichment against your existing CRM records to lift completeness from "barely usable" to "fully populated" — every contact gets title, seniority, company size, industry, tech stack where available.
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