> ## Documentation Index
> Fetch the complete documentation index at: https://xura.mintlify.site/llms.txt
> Use this file to discover all available pages before exploring further.

# Governance

> Clarify column meanings so Xura queries your data correctly.

Governance is where raw column names become semantic. Xura auto-classifies on upload; you review and refine.

## Column classification

For each column, Xura infers:

* **Meaning** — Email Address, Deal Stage, Currency Amount, Person Name, ISO Date, etc.
* **Type** — text, number, currency, date, boolean, categorical.
* **Status** — Confirmed (green), Needs input (amber), Auto-suggested (blue).

## When to intervene

* **Ambiguous names** — `cd` in a pharma dataset could be "CD-ROM", "Change Directory", or "Circular Dichroism". Only you know.
* **Category vs free text** — Xura might mark a column as free text when it's actually a fixed set of stages.
* **Custom units** — non-standard currency, custom scales, etc.

Click a row → Inspector opens → edit meaning + type + notes → Confirm.

## "Accept all AI suggestions"

Banner at the top when N columns need input. Bulk-accepts Xura's best guesses. Fast for well-structured data; risky for anything unusual.

## Why this matters

Bad governance = bad queries. If Xura thinks a `stage` column is free text, it won't group by stage properly. If it doesn't know a column is currency, it won't format sums correctly.

Every minute you spend here pays off in dashboard + flow accuracy.