In most small businesses, "the data quality team" is one person who also does three other jobs. If that's you, here's how to set up a process that's sustainable — something you can actually maintain without it becoming a second full-time job.
The One-Person Data Quality Model
The goal is to make quality checks fast enough that they happen consistently, and systematic enough that problems are caught before they compound.
Here's the weekly process that works:
Weekly (15–20 minutes):
- Review any imports from the past week — count rows, spot-check completeness of key columns
- Check email bounce rates from the most recent campaign — flag anything above 2%
- Scan for any new records with obviously bad data (placeholder values, test entries)
Sohovi profiles every column in your dataset for completeness and flags the exact rows where values are missing — free to try.
Monthly (1–2 hours):
- Profile your most important dataset — look for completeness drift, new duplicate patterns, format degradation
- Run a deduplication check on the primary contact list
- Review the top 5 most common values in categorical fields — watch for new variants appearing
Quarterly (half day):
- Full profile of all major datasets
- Compare quality metrics to the previous quarter — is quality improving or declining?
- Fix the top 3–5 issues found in the monthly reviews that haven't been addressed
Annual (1 day):
- Complete data quality audit — score all datasets against defined standards
- Review and update data quality rules and validation settings
- Plan improvements for the coming year
Sohovi lets you set up validation rules for any column and instantly see which rows fall outside them — no code or SQL required.
The Right Tools for One-Person Operations
Profiling: Sohovi for fast, no-code profiling of CSV exports Deduplication: Your CRM's built-in dedup tool for within-CRM records; spreadsheet COUNTIF for external lists Validation: Form-level validation settings in your CRM and intake forms Documentation: A simple spreadsheet tracking quality scores over time
The Biggest Mistake One-Person Operations Make
Trying to do everything at once. A monthly full audit that takes 8 hours gets skipped when things are busy. A 15-minute weekly spot-check gets done consistently because it fits in the schedule.
Start small, make it consistent, and the compound effect of regular quality checks will produce noticeably cleaner data within 90 days.
Sohovi applies your data quality rules automatically across the whole dataset and highlights every violation — so nothing slips through.
