Domain separation and Predictive Intelligence
Domain separation is supported in the Predictive Intelligence application. Domain separation enables you to separate data, processes, and administrative tasks into logical groupings called domains. You can control several aspects of this separation, including which users can see and access data.
Support level: Standard
- Includes all aspects of Basic level support.
- Application properties are domain-aware as needed.
- Business logic: The service provider (SP) creates or modifies processes per customer. The use cases reflect proper use of the application by multiple SP customers in a single instance.
- The instance owner must configure the minimum viable product (MVP) business logic and data parameters per tenant as expected for the specific application.
Sample use case: An admin must be able to make comments required when a record closes for one tenant, but not for another.
For more information on support levels, see Application support for domain separation.
Overview of domain separation and Predictive Intelligence
With Predictive Intelligence, you can create machine learning solutions using historic datasets. A machine learning solution is created and trained in the global domain, and that solution's predictions can be applied in any domain on the instance.
Similarity solutions are domain-aware when applied in your forms and flows, so records from other domains on the instance are not displayed to users. For more information, see KB article Similarity prediction behavior in domain separated environment on Now Support.
How domain separation works in Predictive Intelligence
- Data can be domain separated
- Domain column is present for base system application tables
- Domain-specific configuration is managed by instance owner
- Tenant domains can manage their own application data
- Application properties are domain-aware when needed