Manual checks
Ad-hoc scripts and repeated Excel checks on every new delivery.
Visualize your data health in real time: completeness, consistency, and compliance, with alerts before errors pollute analysis.
Anomalies are only detected at analysis phase, when they cost time and credibility.
Ad-hoc scripts and repeated Excel checks on every new delivery.
Data managers discover inconsistencies after consolidation, not at the source.
Impossible to quickly say, “are our data healthy enough for analysis?”
The MVP defines quality rules, runs them automatically, and presents results in a clear dashboard.
Completeness, value ranges, cross-table consistency: you define what matters.
Overall quality score, per-study indicators, and list of anomalies to address.
Notifications to data managers with direct links to affected rows.
Data quality becomes a tracked indicator, not a last-minute surprise.
We identify your critical quality rules, then industrialize them in the MVP.
Inventory of current rules and prioritization of the most impactful ones.
Rule engine, dashboard, and alert system development.
Rule validation on real data, adjustments, and handover.
We’ll show you how to monitor your data quality in real time in 20 minutes.