Product roadmap

Data quality monitoring for scheduled SQL queries

DataPilot is expanding from scheduled exports to data quality workflows. Track row-count drift, detect null spikes, and monitor trend anomalies directly in the scheduling loop.

What data quality means here

Data quality checks are attached to query schedules so validation runs with delivery, not as a disconnected tool.

Planned checks

  • Row-count threshold alerts.
  • Null spike detection on key columns.
  • Trend monitoring across historical runs.
  • Delivery audit correlation for incident triage.