> For the complete documentation index, see [llms.txt](https://v2.dataos.info/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://v2.dataos.info/consume/understand/assets/metrics.md).

# Metrics

Metrics are governed measures defined on top of semantic models. They make consistent business calculations reusable across reports, queries, applications, and APIs.

In `Orders Analytics Platform`, metrics include `customer_lifetime_value`, `daily_sales_performance`, `fulfillment_conversion`, `rfm_value_by_segment`, and `weekly_revenue_trends`.

## Open a metric

From the data product page, open **Assets**, expand **Metrics**, and click a metric.

The detail view shows the name, a description, a summary row with **Kind** and **Schedule**, a **View lineage** link, and the **Columns** and **Dependencies** tabs. The **Columns** tab lists each field with its **Kind** (measure, dimension, time, or segment).

![Metric detail showing columns with kind, tags, and quality](/files/ZskX22a8eFdldxdUiVus)

## What to review

<table><thead><tr><th width="141.8623046875">Area</th><th>Why it matters</th></tr></thead><tbody><tr><td>Description</td><td>What the metric measures. Confirms it answers your question.</td></tr><tr><td>Kind</td><td>Confirms the asset is a governed metric you can reuse.</td></tr><tr><td>Schedule</td><td>How current the value is, based on how often it's computed.</td></tr><tr><td>Columns</td><td>The measure plus the dimensions, time field, and segments you can slice it by.</td></tr><tr><td>Dependencies</td><td>The semantic model behind the metric and where it's reused.</td></tr></tbody></table>

## Dependencies

Open the **Dependencies** tab to see which semantic model supports the metric (upstream) and where the metric is reused (downstream). `customer_lifetime_value`, for example, is built on the `CUSTOMER_PROFILE` semantic model.

![Metric dependencies tab showing the upstream semantic model](/files/Ex4ZU8bCtKOPRokSqwVN)

## Lineage

Click **View lineage** to trace the metric back through its semantic model, output, and source input.

## When to use a metric

Use a metric when your use case depends on a governed business measure from the data product, and you want the math to stay consistent across consumers.


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