Data and Business Intelligence Glossary Terms

What is a metric?

A metric is a calculation performed on a measure. Metrics are quantitative attributes of data, with some summarization applied.

Metric vs. measure

You’ll see the terms metric and measure used interchangeably, and they’re pretty similar concepts, both referring to some numerical value that’s part of (or drawn from) your data. However, there’s an important distinction: measures are raw, unaggregated data, while metrics are aggregated (or summarized) data. For example, while a field like Discount is a measure, the standard deviation of that Discount field would be a metric.

Some people will also use “metric” to mean a computation of measures that’s specifically related to performance goals, like CRR (customer churn rate) or NRR (net revenue retention). By this definition, a metric is basically a KPI (key performance indicator), depending on whether or not someone has designated that metric as “key.”

Example metric

If we wanted to determine the average of order subtotals in Metabase’s Sample Database, we’d do so by summarizing, like in figure 1:

Fig. 1. Summarizing the Orders table by subtotal average, a metric.
Fig. 1. Summarizing the Orders table by subtotal average, a metric.

In this case, Subtotal is a measure, but average subtotal is our metric.

Metrics in Metabase

In Metabase, a capital-M Metric is a saved, reusable definition of an aggregation — the official way your team calculates something like revenue, active accounts, or win rate. Metrics are saved into collections like questions and dashboards are, so anyone can create one and browse the ones that already exist, and admins can mark the vetted ones as official.

A metric isn’t limited to a single table: you can build one on top of a table, a model, or another metric, and join in extra data sources when the calculation needs them.

If there are certain aggregations that you and your team need to reference and use on a regular basis (like revenue), you may want to create a metric in Metabase so you can access it when asking questions, without rebuilding that aggregation yourself every time.

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