Incidents Overview

Monitor your data assets for quality issues and manage incidents across your organisation.

Decube's Data Quality module monitors your data assets continuously, detects anomalies automatically, and surfaces incidents so your team can investigate and resolve issues before they affect downstream consumers.

Monitor Types

Each monitor type targets a specific category of data quality issue. Click through to the setup guide for the monitor you want to configure.

Monitor	What it detects	Setup guide
Freshness	Data that has stopped updating within an expected window	Set up Freshness monitors
Volume	Unexpected changes in row counts	Set up Volume monitors
Field Health	Column-level anomalies — nulls, uniqueness, ranges, patterns	Set up Field Health monitors
Schema Drift	Table structure changes	Set up Schema Drift monitors
Custom SQL	Business rule violations defined by custom SQL logic	Set up Custom SQL monitors
Job Failure	ETL pipeline job execution failures	Set up Job Failure monitors
Grouped-By	Quality issues segmented by dimension values	Set up Grouped-By monitors

Monitors run in two modes: Scheduled (continuous, at a configurable frequency) and On-Demand (manual, for ad-hoc validation).

Getting Started

1. Enable asset monitoring on the tables you want to cover.

2. Set up alert notifications so your team is notified when incidents are triggered.

3. Review Incident Details to understand what each incident shows you and how to investigate.

4. Review Managing Incidents to learn how to close, mute, and bulk-update incidents.

Available Monitor Types

Related Pages

Incident DetailsManaging IncidentsConfig SettingsIncident model feedbackAsset Report: Data Quality Scorecard