> For the complete documentation index, see [llms.txt](https://docs.bdb.ai/bdb-documentation/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.bdb.ai/bdb-documentation/data-visualization/governed-dashboards/about-dashboard-designer/what-is-dashboard-designer.md).

# What is Dashboard Designer?

The designer module is a complete package to create governed dashboards with pre-built charting capabilities that make it simple enough for business users to understand their business data, yet robust enough to accommodate complex custom scripting. High-level visualizations backed with accurate predictions and real-time updates are available at seamless speed to provide precise insights to users and help them make informed business decisions.

The Designer module comes preloaded with a wide range of charts, features, and data integration capabilities that empower the users to create informative and appealing visual representations of their data.

![](/files/LNdMuZsBx24XLf7RwWfp)

* [x] Extract and consolidate live data from a variety of data sources ranging from an excel spreadsheet to Data Science services integrated from BDB Data Science Workbench.
* [x] Merge two data connectors of diverse nature such as excel, and a data service based on an underlying criterion. 
* [x] Users can compare metrics, create calculated fields, and use them as input, on top of the merged dataset. 
* [x] Get real-time data updates in seconds using the WebSocket URL. 

 


---

# 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.bdb.ai/bdb-documentation/data-visualization/governed-dashboards/about-dashboard-designer/what-is-dashboard-designer.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.