Data Hygiene
What is Data Hygiene?
Hygiene is what cleansing, dedup, validation, and refresh look like when they happen continuously rather than as quarterly fire drills. Good hygiene is invisible: the database stays clean because the routine maintenance happens in the background. Poor hygiene is loud — quarterly cleanup sprints, mass-bounce incidents, reports that don't tie out, reps who stop trusting the CRM. The shift from periodic to continuous hygiene has been one of the largest improvements in modern GTM stacks. Agents that run nightly hygiene checks catch issues when they're small; agents that watch in real time prevent the issues from being created at all.
Why it matters
- Keeps the database in steadily improving shape rather than slowly degrading.
- Prevents the periodic crisis pattern of quarterly cleanup sprints that nobody enjoys.
- Compounds with every other improvement — every downstream metric benefits from cleaner inputs.
Use cases
- Continuous validation. New records validated against rules at entry, before they corrupt the database.
- Nightly refresh. Agent re-verifies a fraction of records every night, catching decay early.
- Real-time decay watch. Agent monitors for job changes and refreshes affected records within hours.
How turgo helps
turgo's data agent runs continuous hygiene — validating, refreshing, deduping, and verifying so the database stays clean by default, not by quarterly sprint.
See turgo in action →
