From quality aspiration to automated enforcement
Step by step — exactly what happens under the hood.
Write rules in plain language or choose from templates — completeness thresholds, value ranges, format patterns, referential checks.
Apply rules to any dataset in your workspace. Rules can be scoped to specific columns or the entire dataset.
DataLens scans datasets against your rules on every update or upload. No manual triggering required.
Every dataset gets a quality score (0–100%) calculated from rule pass rates. Track improvement over time.
Get notified when a dataset drops below your quality threshold. Export quality reports for governance reviews.
Built for real workflows
Not just a feature — a step change in how your team works with data.
Quality rules run before data reaches analysis. Bad data never silently corrupts a report.
Rules are saved and reusable across datasets. Define once, apply everywhere.
A visible quality score changes behaviour. Teams start caring about data quality when they can see it.
See it in action.
Request a demo and we'll walk you through this feature with your own data in mind.