The C360 Semantic Model integrates Salesforce cloud standard DMOs into a unified model, providing your business context wherever you use Salesforce. With consistent cross-cloud interpretation of your data, the C360 Semantic Model solves the problem of ambiguous metrics and charts by offering a single model that acts as a “primary map” for your data.
Required Editions
| Available in: All editions supported by Data 360. See Data 360 edition availability. |
The C360 Semantic Model
The model provides a unified view across various Salesforce clouds, such as Sales, Service, Marketing, and Commerce. The C360 Semantic Model is also extensible. It allows the core model to be extended to meet specific industry or domain needs while maintaining alignment with the core structure.
Key Benefits
The key C360 Semantic Model benefits include the following.
- Consistent, unified metrics: Provides a single, trusted view of key business performance indicators across Sales, Service, Marketing, and Commerce clouds.
- Accelerated insights: Helps users quickly analyze data across clouds without rebuilding models from scratch.
- Foundation for trusted AI: Empowers AI agents to deliver accurate and actionable recommendations tied to business workflows by embedding clear definitions and relationships into your data. AI agents rely on trusted data definitions for effective task performance.
- Enables intelligent workflows: Facilitates smarter automated processes and actions with consistent data.
- Extensibility: The C360 Semantic Model allows the core model to be extended to meet specific industry or domain needs while maintaining alignment with the core structure.
Components of the C360 Semantic Model
The model’s core components leverage three key features: standard tables, shared tables, and logical views.
- Standard fact tables: These tables capture metrics and measures, such as Campaigns, Leads, Opportunities, Orders, Revenue, and Cases. They support different granularities, including daily, monthly, or transaction-level data.
- Standard dimension tables: These tables define business entities like customers, products, users, and regions, and include hierarchical relationships. For example, a product is a part of a category and a brand.
- Shared tables or shared dimensions: Accounts, individuals, or users are examples that support cross-cloud insights. You can analyze metrics from different business areas, such as sales, service, marketing, and commerce, using these common dimensions. Examples of common tables include Account, Account Contact, Product and Product Hierarchy, Individual, User, and Date.
- Logical Views: These views manage duplicate objects, unions, joins, or custom SQL.
The specific DMOs for C360 Semantic Model include a selection of objects from Sales, Service, Marketing, and Commerce clouds, as well as common tables and dimensions shared across these clouds. The metrics are created as calculated fields (calculated dimensions and measures).