> For the complete documentation index, see [llms.txt](https://whiteklay.gitbook.io/virtual-data-assistant/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://whiteklay.gitbook.io/virtual-data-assistant/how-to-guides/data-catalog/data-classification.md).

# Data Classification

### Overview 

VDA Data Classification provides a structured mechanism for categorizing data elements according to defined classification criteria. Classification adds contextual information to data assets and helps users understand the characteristics of the data available for analysis. 

### Key Capabilities 

* Apply supported classification categories to data elements. 
* Categorize data according to defined classification criteria. 
* View classification information as part of the data asset context. 
* Support data understanding and governance through additional classification metadata. 

<img src="https://803373986-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FEZ25VHhdl67JelwmVtBp%2Fuploads%2FgxvTVDAZ3AXGDXKQJ5Ba%2Funknown.png?alt=media&amp;token=2eabab57-8034-4adb-ac56-68e4d0dabf28" alt="" height="309" width="664">

### Outcome&#x20;

Data Classification adds structured classification context to data elements, helping users understand and manage data assets more effectively.&#x20;


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