Data quality

Protect reports and KPI workflows before bad data reaches the business.

DataPilot includes data quality checks and metric monitoring so teams can detect problems before they affect business KPI answers, scheduled reports, CSV/XLSX exports, and downstream operational workflows.

DataPilot data quality screen with checks, monitors, status levels, and business workflow protection.

What this protects

Scheduled reports

Catch bad data before the weekly report or export reaches the people who depend on it.

Business KPI views

Protect the business-facing experience by monitoring the quality of the data behind the answer.

Operational workflows

Reduce the risk of triggering follow-up actions from unreliable signals.

Shared trust in the data layer

Keep checks and monitors close to the same workflows that produce delivery and action.

Feature coverage already present in DataPilot

  • data checks for important datasets
  • metric monitors with status and severity
  • alerts for business-facing follow-up
  • alignment with recurring reports and KPI flows

Use this when

  • reporting teams already know the data can drift
  • stakeholders need confidence in scheduled outputs
  • a KPI answer should not be shown without basic trust checks
  • the team wants monitoring inside the same workflow layer