Data Quality Monitoring
Catch data issues before they become business problems.
Bad Data Is Expensive and Silent
Data quality issues are usually found by the people who shouldn't have to: end users.
Reactive Discovery
Quality problems surface when a dashboard breaks or a stakeholder reports wrong numbers. By then, damage is done.
No Trend Visibility
Without historical tracking, you can't tell if quality is getting better or worse — or which pipelines need attention.
Manual Firefighting
Data engineers waste hours debugging issues without tooling for root cause analysis, lineage, or coordinated remediation.
Monitor, Alert, Resolve
Qarion runs automated quality checks against your data sources, tracks trends over time, and alerts you the moment something breaks. Connect quality to lineage and you know exactly what's affected downstream.
- Custom SQL quality checks against PostgreSQL, Snowflake, BigQuery, and more
- Real-time alerting via Slack and Microsoft Teams
- Trend dashboards with historical quality scores
- SLA definitions and tracking per data product
- Issue management with structured resolution debriefs
- Lineage-powered impact analysis for affected downstream assets
Bad Data Stops Here
See how Qarion catches quality issues before they reach your stakeholders.