> For the complete documentation index, see [llms.txt](https://docs.sprinkledata.com/product/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.sprinkledata.com/product/analysing-your-data/analytics-overview.md).

# Analytics Overview

Sprinkle’s **Self-Serve analytics** solution enables users to drive more value from the data in the warehouse. 

Built for modern-day **cloud data warehouses**, Sprinkle’s Analytics Solution empowers various types of users in the organization to uncover **insights**📈 and make **empowered** decisions.

:cloud: The Cloud warehouse acts as the **central hub** of the organizational data for analytics, data engineering, and data science teams. Running Analytics directly on Cloud Warehouses provides you with the flexibility to shape the data the way you want.

## Basic Components

Sprinkle provides a self-serve interface to explore and analyze data in the data warehouse. The below components form the basis of Sprinkle’s Analytics layer.

* [**Data Models**](/product/analysing-your-data/data-models.md): Define **Business Metrics** and **Dimensions** on the data warehouse tables.
* [**Reports**](/product/analysing-your-data/reports.md): Perform drag-and-drop analysis using our Report Builder UI from [**tables**](/product/analysing-your-data/reports/build-using-tables.md), [**Data Models**](/product/analysing-your-data/reports/build-using-models.md) or using [**SQL**](/product/analysing-your-data/reports/build-sql-reports.md) and build stunning visualisations :bar\_chart:
* [**Dashboards**](/product/analysing-your-data/dashboards.md): Club various reports onto the dashboard with custom filter options

{% hint style="success" %}
**Optimised for Performance:** Sprinkle does a lot of optimisations like caching of data, partitioning, etc for delivering high performance at optimal warehouse cost.
{% endhint %}