> For the complete documentation index, see [llms.txt](https://docs.telm.ai/telmai/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.telm.ai/telmai/remediation/data-binning.md).

# Data Binning

#### Data Binning Policy <a href="#data-binning-policy" id="data-binning-policy"></a>

Telmai offers a data binning feature to help manage data quality issues at the source. This feature allows you to define a policy where Telmai monitors data correctness and categorizes your data into "good" and "bad" bins. Good data continues through your pipeline, while bad or suspicious data is flagged for review

<figure><img src="/files/zoipc8OjvSQi2yBBlfYs" alt=""><figcaption></figcaption></figure>

This feature can help you ensure that only good (or expected) data is flowing into your ecosystem. By doing so, you can ensure that your costly pipelines are only running on healthy datasets

To learn more about using this feature, please check [Configuring Data-Binning](/telmai/monitoring-data/monitors-management/configuring-data-binning.md) documentation.


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