> For the complete documentation index, see [llms.txt](https://docs.collibra.com/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.collibra.com/data-quality-self-hosted/data-quality-observability-classic-self-hosted.md).

# Data Quality & Observability Classic (self-hosted)

For information about Data Quality & Observability for Collibra Platform, go to [About Data Quality & Observability](https://productresources.collibra.com/docs/collibra/latest/Content/UnifiedDataQuality/co_about-data-quality.htm).

Data Quality & Observability (self-hosted) provides a fast and elegant way to manage your datasets by learning through observation rather than human input, helping you achieve automatic data quality without the need for rules.

Data Quality & Observability (self-hosted) applies the latest advancements in data science and machine learning to the problem of data quality, surfacing data issues in minutes instead of months.