Use the C360 Semantic Data Model (SDM) to get unified and trusted insights when you work across multiple Salesforce products to create cross-cloud KPIs.
Required Editions
| Available in: All editions supported by Data 360. See Data 360 edition availability. |
The C360 semantic data model (SDM) is a unified semantic model that serves as a central foundation to define and manage metrics derived from standard Salesforce objects.
- Understand the C360 Semantic Model
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. - Considerations for the C360 Semantic Model
Note the considerations and requirements to work with the C360 Semantic Model. - Install and Manage the C360 Semantic Model
The C360 Semantic Model is automatically added to your default data space when you have Tableau Next. This procedure is for adding the C360 Semantic Model to additional data spaces. - Tune the C360 Semantic Model for AI Readiness
Before rolling out Tableau Next assets to your team, first calibrate Tableau Agent responses with verified questions and business preferences. - Delete the C360 Semantic Model
You can delete the C360 Semantic Model from Setup or the App Hub. - C360 Semantic Model Metrics, DMOs, and Calculated Fields
The C360 Semantic Model includes the following metrics, data model objects (DMO), and calculated fields.