# ＊ Deep Data Understanding

Do you have other types of data that have particular meanings in your businesses? These transformers understand real world concepts, and parse out their meanings for increased data modeling accuracy.

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Use **Contextual Anonymization** for sensitive data. Contextual Anonymization is a novel technique invented at DataCebo to anonymize data with more nuanced meaning.

Contextual Anonymization combines the ability to anonymize Personal Identifiable Information (PII) while preserving underlying meaning of the data (deep data understanding). 

[-> Learn more](/rdt/resources/use-cases/contextual-anonymization.md)
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## Explore the Data Types

We offer deep data understanding and contextual anonymization for the data types listed below.

* ＊ [**Address**](/rdt/transformers-glossary/deep-data-understanding/address.md): Physical locations around the world, for example an office or personal mailing address
* ＊ [**Email**](/rdt/transformers-glossary/deep-data-understanding/email.md)**:** email addresses associated with real users, businesses or other entities
* ＊ [**GPS Coordinates**](/rdt/transformers-glossary/deep-data-understanding/gps-coordinates.md): precise locations around the world, defined by a latitude and longitude
* ＊ [**Phone Number**](/rdt/transformers-glossary/deep-data-understanding/phone-number.md): cell phone or landline numbers

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**＊SDV Enterprise Feature.** This feature is available to our licensed users and is not currently in our public library. For more information, visit our page to [Explore SDV](https://docs.sdv.dev/sdv/explore/sdv-enterprise/compare-features).
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# Agent Instructions: Querying This Documentation

If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter:

```
GET https://docs.sdv.dev/rdt/transformers-glossary/deep-data-understanding.md?ask=<question>
```

The question should be specific, self-contained, and written in natural language.
The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.