# Incidents

The Incidents dashboard provides a consolidated, organisation-wide view of all data quality issues detected by your monitors. Use it to track incident volume over time, monitor resolution progress, and identify which data sources or domains are generating the most quality issues.

### Statistics

Statistics provides you the below information in the form of graphs that helps you understand the metrics more quickly and easily:

* **All Incidents:** Shows the total no. of incidents in your organization data with the incidents status percentage for Open, Muted and Close.
* **Incidents Assigned:** Shows no. of Incidents assigned vs assigned.
* **Incident Levels:** Provides breakdown of all incident levels (Info, Warning and Critical).
* **Data Job Statuses:** Provides the data job status percentage (Pass, Fail and Others).
* **Data Contracts Breached:** Shows total no. of data contracts breached on data assets over a time period.
* **Average time to close incidents:** Shows total time required to close incidents shown across a time period.

Also provides a count of **total incidents** that had taken place over your selected timeframe. This information is also further classified into four types of data quality incidents:

* **Volume:** Triggers when there is a significant change in the size of data ingestion.
* **Freshness:** Triggers when a significant time has passed since the last update on the data.
* **Schema Drift:** Triggers when there is a schema change.
* **Field Health:** Triggers when anomalies are detected by our monitors based on the metrics configured by you. You can set up the monitors to track Field Health in the [Data Catalog](https://docs.decube.io/catalog/data-catalog).
* **Custom SQL**: Triggers when anomalies are detected by running the custom SQL.
* **Job Failure:** Triggers when anomalies are detected by data transformation, our system offers specialized Data Job/Job Failure monitors.

<figure><img src="https://1779874722-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FTw0qpCVzfrIXqS4FEg4T%2Fuploads%2Fgit-blob-d0d5d3f0c92377a40651cf1ff564728b5bb9ab42%2Fimage.png?alt=media" alt=""><figcaption><p>Incident Overview</p></figcaption></figure>

#### Source/Domain Summary

The Source/Domain Summary section provides a comprehensive view of all data quality incidents reported within a specified timeframe. Each source/domain will show the following metrics:

* **Tables With Incidents/ All Tables:** Shows the total no. of tables with incidents out of total tables.
* **Incident Count:** Shows the total incident count from assets in the data source.
* **Assigned:** Shows how many incidents have an assignee.
* **Closed:** Shows how many incidents with closed status.
* **Freshness:** This is the number of Freshness incidents.
* **Volume:** This is the number of Volume incidents.

<figure><img src="https://1779874722-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FTw0qpCVzfrIXqS4FEg4T%2Fuploads%2Fgit-blob-480d6a1cdf6d9cbaea2c27a90c7e496a782e9ae7%2Fimage.png?alt=media" alt=""><figcaption><p>Overview of Incidents Source/Domain Summary</p></figcaption></figure>

You have the option to choose a specific date range, and the Dashboard will display information accordingly. Additionally, you can apply filters such as **Domains**, **Data** **Sources**, **Incident** **Levels**, **Incident** **Types**, and **Filter** **by** **classifications**. By selecting “Save Preferences,” the Dashboard will present data accurately based on the chosen date range and applied filters.

<figure><img src="https://1779874722-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FTw0qpCVzfrIXqS4FEg4T%2Fuploads%2Fgit-blob-83ad5712c31445d5a515f3b90514358f33576ad7%2Fimage.png?alt=media" alt=""><figcaption><p>Overview of Apply filters modal</p></figcaption></figure>


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