Start by identifying all data sources, then manually classify each data type and create metadata entries for each source.

Automate the discovery of data sources, use machine learning for data classification, and include detailed metadata such as data lineage, usage statistics, and access controls.

Focus only on the finance sector data, classify it manually, and include basic metadata like data type and source location.

Ignore data classification and metadata, simply list all data sources in a centralized repository.