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What should a Data Health Check for a small business cover?
A Data Health Check should review which systems and spreadsheets hold your data, how they connect, where numbers do not match, data quality problems, key metric definitions, security and privacy risks, and what is realistically worth fixing first, ending in a prioritised plan.
Typical areas:
- Inventory of sources and who owns them.
- Sample reconciliations between systems.
- Data quality profiling: duplicates, gaps, formatting.
- Review of existing reports and manual processes.
- Access, backups and compliance considerations.
- Recommendations with effort and value estimates.
The outcome should be a clear, written view of the current state and options, so you can decide on investment with evidence rather than guesses.
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