> For the complete documentation index, see [llms.txt](https://gchandra.gitbook.io/data-warehousing/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://gchandra.gitbook.io/data-warehousing/fundamentals/data-warehouse-characteristic/subject-oriented.md).

# Subject Oriented

<figure><img src="https://2629735788-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2F3G2NQEHaUSzehWzaKvXK%2Fuploads%2Fgit-blob-5186de7d1077f0f444311d66cd71800650d14438%2Fdw_subject_oriented.jpg?alt=media" alt=""><figcaption><p>Src:<a href="https://unstop.com/blog/characteristics-of-data-warehouse">https://unstop.com/blog/characteristics-of-data-warehouse</a></p></figcaption></figure>

Data analysis for a business's decision-makers can be done quickly by constricting to a particular subject area of the Data warehouse.

You can just add unwanted info on some unnecessary subjects for decision-making.

When analyzing customer info, there is no need for wild animal details.