Marking Alerts as Incidents (beta)

Marking and tracking incidents is best practice for data teams looking to improve data quality and trust across the business. Incidents should be communicated out to stakeholders when appropriate and reviewed on a monthly cadence to determine where gaps in data quality may lie. Furthermore, severity levels of incidents are useful for understanding impact quickly and setting priorities for data teams.

This change is gradually rolling out to Monte Carlo workspaces over the next week. Learn more about marking incidents and severity here in the docs!

Didn't everything used to be called an incident in Monte Carlo? Yes! See more about that recent change under Introducing: Alerts.