8.1.2.1 Subject Area

A Subject Area (SA) is a pre-configured dataset that includes all fact entities (along with their attributes) and their associated dimension entities, relevant to a specific functional domain.

Key Features:

• Domain-Specific Data Access – Provides users with a structured view of entities and attributes needed for a particular functional area.
• Fact and Dimension Entities – Includes key data points (fact entities) and their contextual details (dimension entities).
• Supports Multiple Granularities – Most Subject Areas contain entities of the same granularity, but some may include multiple levels.

Example:

• The Accounts Subject Area allows users to access all account-granularity data, including dimensions such as product type, party type, and account rating.
• While most entities follow the account grain, some may have different granularities, such as account-rating or account-address grain.

For optimal data extraction, users should first review the Subject Area Granularity to ensure they are working with the correct level of detail before extracting data.