Alation ServiceNow Incident Integration enables automatic creation and synchronization of incidents in ServiceNow directly from Alation.

ServiceNow Integration — Key FeaturesNative Incident Creation from Data Quality Failures

Automatically create ServiceNow incidents when data quality checks fail or anomalies are detected. Incidents are generated directly from Alation Data Quality monitors, ensuring critical issues are captured the moment they occur—without manual handoffs or duplicate reporting.

**Value:** Guarantees no critical data issue goes unnoticed or untracked.

Intelligent Incident Routing & Ownership

Incidents are routed to the right ServiceNow assignment group based on asset ownership, domain, data source, or priority defined in Alation. This leverages Alation’s rich governance metadata to eliminate guesswork around who owns the issue.

**Value:** Faster triage and reduced mean time to resolution (MTTR).

Priority & Severity Mapping

Map data quality priorities (e.g., Critical, High, Medium) directly to ServiceNow severity levels. High-impact data issues affecting downstream dashboards, KPIs, or operational systems are escalated appropriately within ITSM workflows.

**Value:** Aligns data quality incidents with enterprise SLA and escalation policies.

Context-Rich Incidents with Full Data Intelligence

Each ServiceNow incident includes deep context from Alation:

- Affected datasets, tables, and columns

- Failed checks and thresholds

- Historical trends and recent run results

- Links back to the Alation catalog for lineage, usage, and ownership

**Value:** Engineers and data teams get actionable context immediately—no back-and-forth required.

Bi-Directional Status Synchronization

Incident status updates in ServiceNow (Open, In Progress, Resolved, Closed) are reflected back in Alation Data Quality. Users can see the operational state of an issue directly from the catalog and monitoring views.

**Value:** A single source of truth across data and IT teams.

Support for Anomalies, Monitors, and Scheduled Checks

Trigger incidents from:

- Scheduled data quality check failures

- AI-powered anomaly detection (schema drift, freshness issues, null spikes, duplicates, outliers)

- Repeated or persistent failures over time

**Value:** Moves teams from reactive firefighting to proactive issue management.

Auditability & Compliance Ready

All incidents are logged with timestamps, ownership, resolution history, and outcomes. This creates a defensible audit trail linking data quality issues to operational response and remediation actions.

**Value:** Supports regulatory, audit, and governance requirements without extra tooling.

Enterprise-Grade Configuration & Controls

Admins can configure:

- Which monitors or priorities create incidents

- Incident creation thresholds (first failure vs. repeated failures)

- Assignment rules and mappings

- Environment-level controls (prod vs. non-prod)

**Value:** Flexibility without sacrificing governance or control.

Designed for Enterprise Incident Management

This integration goes beyond “alerting.” It embeds data quality into existing ITSM processes, ensuring data issues are:

- Owned

- Tracked

- Resolved

- Measured

**Value:** Makes data quality operational, not just observable.