# Endash guide

## Getting started

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[Welcome to Endash](/docs/start-guide/welcome-to-endash.md)
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## Overview

Endash, <mark style="color:purple;">**All-in-one Data Solution**</mark>, has 3 Main Features: 1. Dashboard, 2. Connection, and 3. Data.\
You can automatically collect any raw data source you need, freely transform the data workflows, and easily visualize the data with familiar charts.

### 1. Dashboard

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[Dashboard](/docs/dashboard/dashboard.md)
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* A visual representation of data that presents information through a set of user-friendly charts. This combination of visuals allows users to quickly grasp insights, analyze trends, and make informed decisions at a glance.
* It's so natural and easy that you don't even need to learn it, unlike other common services. With the support of our AI Visualization.

### 2. Connect

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[Connect](/docs/connect/data-connectors-trino-fivetran-endash-provider-and-cigro-connector.md)
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* About <mark style="color:purple;">**400 connectors**</mark><mark style="color:$primary;">**.**</mark>
* About <mark style="color:purple;">**500 templates**</mark> based on raw data.
* Integrate data from various platforms such as Meta, Mixpanel, AirTable, etc., and seamlessly visualize it through the Dashboard feature. This integration will enable a comprehensive representation of key metrics and insights, providing a unified and streamlined view of correct information.&#x20;

### 3. Data

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[Data Transformation](/docs/data/data-transformation.md)
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* Build and customize your data model.
* Query any data, no matter where it comes from, with the support of our AI Query.
* You can freely create your own collection of queries. Write VIEW queries on the raw data collected through automated data collection and create the data model you want. These results can be visualized on a Dashboard as a widget.

### :handshake: And many more for our customer needs.

* We highly focus on the VOC (Voice of customers, you guys), so it would be super-happy if you guys give us any feedback.

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[Contact us](/docs/need-more-help/contact-us.md)
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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://endash-guidance-docs.gitbook.io/docs/home/endash-guide.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.