# Analytics

> A top-tier BI is built into AIpril - its own engine, your databases, and dashboards that land inside the apps people already use

Source: https://aipril.dev/docs/analytics

AIpril has a full BI inside it: its own calculation engine, its own storage, its own charts and
dashboards. Not a reporting screen attached to the side of something else, and not a third-party
tool wired in afterwards.

And it is inside your systems, not pointed at them. Every other BI is a layer over the CRM,
over the tracker, over whatever the project office runs on. Here those are apps on the same
platform, so a deviation is discussed, assigned and acted on where it was found, instead of in
three other tabs: [Inside the work](https://aipril.dev/docs/analytics/inside-the-work.md).

It connects to the databases and services the company already runs on, and to the files people keep
by hand, and answers questions from them without a data project in front of the first chart. A
dashboard does not have to stay in the analytics section either - it becomes a page of an
[app](https://aipril.dev/docs/apps.md), or a block on the portal a manager already opens every morning.

The part that changed most recently is who does the assembling. Building a report used to mean
knowing the tool: which setting to tick, in what order. Now you describe what you want and the
assistant builds it - and every choice it made stays a setting you can open and change.

## Where to go next

- [What you can do](https://aipril.dev/docs/analytics/what-you-can-do.md) - the whole product in one page: the sources
  it connects to, the exploration table, dashboards and cross-filtering, the chart types, and how
  the same numbers stay the same for everyone.
- [Inside the work](https://aipril.dev/docs/analytics/inside-the-work.md) - why this is not a BI tool pointed at your
  systems: the finding, the discussion, the task and the work are on one surface.
- [AI in analytics](https://aipril.dev/docs/analytics/ai.md) - what the assistant builds for you, and what stops it from
  producing a confident wrong number.
- [Under the hood](https://aipril.dev/docs/analytics/under-the-hood.md) - for the technical reader: how a result set
  becomes a scrollable table, a clickable chart and a screen that filters itself. The data plane
  behind it is the [Data engine](https://aipril.dev/docs/engine.md).