RESOLVE
Data Incident Management From Alert to Resolution
Data incident management that turns a noisy alert into one owned incident, with root cause, downstream impact, and a record of how it was resolved.
Alerted #data-eng 0.8s ago.
Downstream impact · consumers at risk
What is data incident management?
Data incident management is the workflow for handling data quality alerts: grouping related alerts, assigning an owner, capturing the root cause, and tracking the issue to resolution. Dataobservability opens an incident automatically when a monitor fires, attaches the downstream lineage impact, and keeps a history so your team learns from every data downtime event.
Last updated July 2026
What you get
Built for data incident management
One incident, not ten alerts
Related freshness, volume, and schema alerts group into a single tracked incident.
Ownership and status
Assign an owner, set status, and route to the team responsible for the affected tables.
Root cause and impact
Each incident carries upstream root-cause hints and the downstream blast radius from lineage.
A history you learn from
Track mean time to resolution and recurring breakages to harden your pipelines.
How it works
From connected to caught
Alert fires
A monitor detects a break and opens an incident automatically.
Group and assign
Related alerts merge, an owner is set, and the right channel is notified.
Diagnose
Lineage and recent changes point to the likely root cause.
Resolve and record
Close the incident with a cause and keep the history for next time.
Catch broken data before your stakeholders do
Connect your warehouse and get data incident management live in 15 minutes. Transparent pricing, no credit card.