# DASHBOARDS: Turn business data into a working view.

> Bring the source data, define the decisions the dashboard should support, and return an interactive result your team can inspect and refine.

- Canonical page: [/solutions/dashboards](https://grain.sh/solutions/dashboards)
- Agent-readable page: [/agents/solutions--dashboards.md](https://grain.sh/agents/solutions--dashboards.md)
- Section: Solutions

## What this page covers

- Output: KPI dashboard
- Output: Data checks
- Output: Source mapping
- Output: Refresh plan
- Work from uploaded data: Use CSV and spreadsheet inputs as real Mission context, including their structure and validation needs.
- Show the useful relationship: Choose tables, comparisons, trends, and flows based on the question the dashboard must answer.
- Keep the source traceable: Return the assumptions, mappings, and checks with the visual result so updates remain safe.
- Start with the outcome: Describe what should be true when the work is done. Grain turns that outcome into a visible Mission.
- Bring the right engine: Use hosted Grain Models or route execution to supported models and CLIs on your connected machines.
- Inspect, edit, and ship: Review the result in Grain, ask for changes, and keep a person in control of the final action.

## Why it matters

A good dashboard is an operating surface, not decoration. Grain connects the visual result to the source files and the action it should drive.

## About Grain

Grain is a multi-agent work platform. A person describes an outcome as a Mission, Grain coordinates the models, tools, files, repositories, and connected computers needed to do the work, and the result returns for review.

Start with [the complete agent-readable index](https://grain.sh/agents/index.md) or read [the full site corpus](https://grain.sh/llms-full.txt).