> For the complete documentation index, see [llms.txt](https://docs.opendatadiscovery.org/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.opendatadiscovery.org/use-cases.md).

# Use cases

- [Overview](https://docs.opendatadiscovery.org/use-cases/use-cases.md): Cross-role use-case index — data compliance for data scientists, safe deprecation for data engineers, DQ visibility for QA, BI preparation for viz engineers, pre-sales for consultants.
- [Data compliance for Data Scientists](https://docs.opendatadiscovery.org/use-cases/use-cases/dc-data-compliance.md): Data scientist walkthrough — using ODD Platform's catalogue search, tags, labels, and metadata to identify confidential data and develop GDPR-compliant ML models.
- [Deprecation for Data Engineer \ Analyst](https://docs.opendatadiscovery.org/use-cases/use-cases/de-deprecation.md): Data engineer and analyst walkthrough — using ODD lineage and ownership to deprecate data objects safely, informing stakeholders, and mitigating downstream pipeline failure risk.
- [Visibility for Data Quality Engineer](https://docs.opendatadiscovery.org/use-cases/use-cases/dq-visibility.md): Data quality engineer walkthrough — ingesting Great Expectations, dbt tests, DataProfiler statistics, and custom DQ framework results into ODD Platform for cross-team visibility.
- [Data preparation for Visualization Engineer](https://docs.opendatadiscovery.org/use-cases/use-cases/viz-preparation.md): Visualization engineer walkthrough — consulting ODD tags and metadata to predict BI-tool performance, set dashboard security levels, and prepare data for chart development.
- [Service Provider and Pre-Sales](https://docs.opendatadiscovery.org/use-cases/use-cases/service-presales.md): Service-provider and pre-sales consultant walkthrough — using the Platform API to gather a client's architectural landscape and toolset for better discovery-phase scope planning.


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