# AI powered data mapping

Plock is similar to reverse ETL, a process for moving data from a data warehouse or storage system back to operational databases. With the rise of data-driven decision-making and the need for real-time insights, there is a growing demand for the movement of data from data warehouses.

Once Plock is successfully connected with your database(s), Plock AI immediately starts to map your database schema to make it readable for you, even for non-developers. Each data set is described and we even label each data set with an Icon that our AI engine believes is representing that data set. Makes it quicker for you to scroll through, with image help.

<figure><img src="/files/cCmERPQYGc2vqTZAkxTA" alt=""><figcaption></figcaption></figure>

You can select a metric and make it a product, with zero coding. By turning a metric into a product, you can start to charge for this metric using simple of advanced pricing models, rebates, subscriptions, payment intervals & credit limits.


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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.plock.io/plock-overview/guides/ai-powered-data-mapping.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.