> For the complete documentation index, see [llms.txt](https://docs.datalogz.io/guides/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.datalogz.io/guides/bi-similarity/bi-similarity-cluster-map.md).

# BI Similarity Cluster Map

## Overview

The BI Similarity Cluster Map helps you quickly find similar BI assets. It's an interactive map that groups similar reports and datasets together, letting you use filters to easily explore and pinpoint the exact clusters you're looking for.

## How to find clusters of similar assets

1. Go to your preferred team.
2. Click on the **BI Similarity** tab.
3. Click on the type of asset you are interested in. You can choose between the following asset types:
   * Power BI Semantic Models
   * Power BI Reports
   * Tableau Data Sources
   * Tableau Dashboards
4. Review the asset clusters.

<figure><img src="/files/Y0parpZYi7tHEUPf9GFf" alt=""><figcaption></figcaption></figure>

## What do I see in the graph

The graph shows all available similar asset clusters through edges and nodes.

Each node represents an asset (report or dataset). The color of the node represents the location of the asset, for example a Power BI workspace or a Tableau project. Selecting a node marks the node with a dotted line. Nodes outside of the selected cluster are blurred.

Each edge represents a relationship between two similar assets. The edge also has a similarity score and a state.&#x20;

<figure><img src="/files/aAWRAlj8lHfw7UVjJT6J" alt=""><figcaption></figcaption></figure>

### Graph controls

A toolbar at the bottom of the cluster map controls how the graph is displayed:

* **Labels**: Show or hide the asset names on the nodes.
* **Score**: Show or hide the similarity scores on the connections between nodes.
* **Legend**: Show or hide the legend. Use the dropdown next to it to pick the property that colors the nodes, such as workspaces.
* **Top Views %**: Narrow the map to the most viewed assets. Lower the percentage to focus on the assets users actually open.
* **Top Clusters %**: Limit the map to the top clusters. Lower the percentage to focus on the largest or most similar clusters first.

Use the **+** and **-** buttons to zoom in and out, the arrow controls to pan across the map, and the center button to reset the view.

## How do I find the cluster I'm interested in

The graph initially shows all similar asset clusters. When dealing with a large volume of assets, simply use the filters to refine your view and quickly pinpoint what you're looking for. The filters will change depending on the asset type that you have selected in the previous step.

The following filters are available:

{% tabs %}
{% tab title="Dataset Clusters" %}

* **By Similarity Score**: Choose the degree of similarity you are interested in. You can show pairs that score at least 70%, 80%, or 90%.
* **Search Datasets**: Use the search to find dataset titles that contain your key words.
* **Dataset Owner**: Search for datasets created by one or many owners.
* **Source**: Search for datasets with the selected common source.
* **Created Between**: Show all datasets that were created between the two selected dates. Quick picks cover the last week, last 30 days, and last 6 months.
  {% endtab %}

{% tab title="Report Clusters" %}

* **By Similarity Score**: Choose the degree of similarity you are interested in. You can show pairs that score at least 70%, 80%, or 90%.
* **Search Reports**: Use the search to find report titles that contain your key words.
* **Report Owner**: Search for reports created by one or many owners.
* **Source**: Search for reports with the selected common source.
* **Created Between**: Show all reports that were created between the two selected dates. Quick picks cover the last week, last 30 days, and last 6 months.
* **Report Type**: Show paginated (.rdl) or regular (.pbix) reports or all reports.
* **Used in an app**: Select to only show reports that are used in an app.
  {% endtab %}
  {% endtabs %}


---

# Agent Instructions
This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com.

## 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.datalogz.io/guides/bi-similarity/bi-similarity-cluster-map.md?ask=<question>&goal=<endgoal>
```

`ask` is the immediate question: it should be specific, self-contained, and written in natural language.
`goal` is optional and describes the broader end goal you are ultimately trying to accomplish on behalf of the user. GitBook uses it to tailor the answer towards what is most useful for that goal.

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.