> For the complete documentation index, see [llms.txt](https://docs.enlyze.com/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.enlyze.com/en/integrations/power-bi/tutorials/getting-started-with-the-enlyze-power-bi-connector.md).

# Getting Started with the ENLYZE Power BI Connector

If you're using the ENLYZE Power BI Connector for the first time, this guide will walk you through the initial steps to retrieve and work with data from the ENLYZE Platform.

## Connecting to the ENLYZE Power BI Connector

To query data using the connector:

1. Open Power BI and navigate to **Get Data > More**.
2. In the search box, type **ENLYZE**.
3. Select **ENLYZE (Beta) (Custom)** and click **Connect**.

### Authenticating with an API key

If this is your first time using the connector, you will need to enter an API key to establish a connection to the ENLYZE Platform.

{% hint style="info" %}
If you do not have an API key yet, learn how to create one under [Manage API keys](/en/administration/api-keys.md).
{% endhint %}

After authentication, the connector will display the available data sources.

## Querying Data

Once connected, you can select the required tables for your report.

* Click **Load** to import data directly into your report.
* Click **Transform Data** if you want to apply transformations before loading the data (e.g., filtering, renaming columns, or changing data types).

{% hint style="success" %}
To improve performance and reduce processing times, we recommend applying filters before loading data into the model.
{% endhint %}

## Building the Data Model

To work efficiently with ENLYZE data, it is recommended to establish relationships between tables. This allows interactive report elements such as filters and date selectors to function correctly across the dataset.

#### Creating Relationships

1. Navigate to the **Model View** in Power BI.
2. Drag and connect related columns between tables.
3. Ensure that relationships are set up correctly (e.g., **one-to-many** or **many-to-many**) to maintain data integrity.

Here is an example of a properly structured data model:

{% hint style="success" %}

### **Congrats!** You have just queried the first data from the ENLYZE Manufacturing Data Platform and created a connected data model.

{% endhint %}


---

# Agent Instructions
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## 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, and the optional `goal` query parameter:

```
GET https://docs.enlyze.com/en/integrations/power-bi/tutorials/getting-started-with-the-enlyze-power-bi-connector.md?ask=<question>&goal=<endgoal>
```

`ask` is the immediate question: it should be specific, self-contained, and written in natural language.
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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.