# Metric management
The functionality of metrics allows you to quickly create OKRs, KPIs, SLAs, and other custom metrics, schedule them, monitor their value, and execute various pipelines based on them.
[Management of metrics](https://app.datamin.io/metrics) consists 5 simple steps:
## Give metric a name
## Define how to retrieve data for your metric
As same as in the case of the pipeline task "Query" you can choose between using a visual UI or an SQL interface:
## Define how to calculate your metric
[Mathematical functions](/pipelines/mathematical-functions.md) are supported here:
## Define how often or when to calculate your metric
More scheduling information can be found [here](/pipelines/running-and-scheduling-workflows.md#automatically-by-a-schedule).
## Define thresholds and pipelines to run
And now as the final and most important step, you can define which pipeline to execute depending on the value of your metric:
Some of the more detailed examples of metrics can be found here in the list of our use cases. Our [library of templates](/pipelines/library-of-templates.md) also contains multiple ones, which you can use for configuring your metrics.
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