> For the complete documentation index, see [llms.txt](https://docs.decube.io/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.decube.io/data-quality/data-quality.md).

# 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](/data-quality/how-to-set-up-monitors/set-up-freshness-monitors.md)              |
| **Volume**       | Unexpected changes in row counts                             | [Set up Volume monitors](/data-quality/how-to-set-up-monitors/set-up-volume-monitors.md)                    |
| **Field Health** | Column-level anomalies — nulls, uniqueness, ranges, patterns | [Set up Field Health monitors](/data-quality/how-to-set-up-monitors/set-up-field-tests.md)                  |
| **Schema Drift** | Table structure changes                                      | [Set up Schema Drift monitors](/data-quality/how-to-set-up-monitors/set-up-schema-drift-monitors.md)        |
| **Custom SQL**   | Business rule violations defined by custom SQL logic         | [Set up Custom SQL monitors](/data-quality/how-to-set-up-monitors/custom-sql-monitors.md)                   |
| **Job Failure**  | ETL pipeline job execution failures                          | [Set up Job Failure monitors](/data-quality/how-to-set-up-monitors/set-up-data-job-job-failure-monitors.md) |
| **Grouped-By**   | Quality issues segmented by dimension values                 | [Set up Grouped-By monitors](/data-quality/how-to-set-up-monitors/set-up-grouped-by-monitors.md)            |

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](/data-quality/enable-asset-monitoring.md) on the tables you want to cover.
2. [Set up alert notifications](/alert-notifications-classic/notification-alerts.md) so your team is notified when incidents are triggered.
3. Review [Incident Details](/data-quality/data-quality/incident-details.md) to understand what each incident shows you and how to investigate.
4. Review [Managing Incidents](/data-quality/data-quality/incident-management.md) to learn how to close, mute, and bulk-update incidents.

{% content-ref url="/pages/f7SehvK9kQi9RYPSSxru" %}
[Available Monitor Types](/data-quality/available-monitor-types.md)
{% endcontent-ref %}

## Related Pages

{% content-ref url="/pages/JwDGUfWup3P1TQWUn9zw" %}
[Incident Details](/data-quality/data-quality/incident-details.md)
{% endcontent-ref %}

{% content-ref url="/pages/ZayzgoP6LWwmhawZ0z1U" %}
[Managing Incidents](/data-quality/data-quality/incident-management.md)
{% endcontent-ref %}

{% content-ref url="/pages/cFfu9PDAnjRwAkZxU098" %}
[Config Settings](/data-quality/config-settings.md)
{% endcontent-ref %}

{% content-ref url="/pages/oHQMBTOmZQevImaIjmyw" %}
[Incident model feedback](/data-quality/data-quality/incident-model-feedback.md)
{% endcontent-ref %}

{% content-ref url="/pages/AuBPzQbjZY9jvr7I4oRR" %}
[Asset Report: Data Quality Scorecard](/reports/asset-report-data-quality-scorecard.md)
{% endcontent-ref %}