Data Accuracy
Data accuracy is the degree to which a record matches reality — the right person, the right title, the right phone number — and is the foundation of every downstream automation.
What is data accuracy?
Data accuracy is one of the core dimensions of data quality. A record is accurate if every field reflects the current real-world truth. Accuracy decays over time — people change jobs, companies move, phone numbers get reassigned — so accuracy is a process, not a state.
Why it matters
- An outbound campaign on a 60% accurate list wastes 40% of every send and damages sender reputation
- AI scoring on inaccurate data produces confident-sounding garbage
- Reps lose trust in the CRM and start keeping their own spreadsheets — the start of every data-quality death spiral
How to maintain accuracy
- Verify at the source — every email validated before send, every phone before call
- Refresh on a schedule — re-enrich every account quarterly, every contact every 90 days
- Trigger re-verification on signals: job changes, company moves, bounce events
How TexAu helps
Waterfall enrichment runs multiple providers and picks the most current value per field, and built-in verification catches stale or wrong data before it pollutes your downstream systems.
Related