Universal Containers (UC) is an international company with activities m Europe and the U.S. UC has two separate Salesforce orgs, one for each region. Quotes are built m different legacy systems, depending on their country. Orders are processed centrally by the back- office team with an ERP. Customer information is saved m both legacy systems and the ERP. The analyst team complains about the inconsistency of customer data between different systems and the lack of connection between a single piece of customer data across all of the systems. Which approach would make it possible to set up this single source of truth and ensure scalability for orders?
A. Use MuleSoft Anypoint Platform as the single point of data orchestration across the different systems and Salesforce environments.
B. Map all of the points of data with a different ETl tool for each Salesforce environment and drive synchronization from Salesforce to the other systems.
C. Use each Salesforce org as its own system of record (SOP.) and use Salesforce Connect to synchronise the two Salesforce orgs.
D. Map all of the points of data within a custom data manager and drive synchronization between the different systems with a point-to-point approach.
A. Use MuleSoft Anypoint Platform as the single point of data orchestration across the different systems and Salesforce environments.
Explanation:
🌐 MuleSoft Anypoint Platform is designed for enterprise-level integration and data orchestration, making it ideal for unifying multiple Salesforce orgs, legacy quoting systems, and ERP platforms. It enables centralized, scalable, and API-driven data flows, which is critical for maintaining a single source of truth and ensuring consistency in customer and order data across regions.
❌ B and D involve complex, fragile point-to-point integrations, which are hard to maintain and scale.
❌ C doesn’t provide true data unification—Salesforce Connect enables data access but not orchestration or transformation.