Multiple systems storing business partner data create inconsistencies that impact your operations. Sales teams work with different information than finance teams, while contract details and purchase orders contain outdated data.
Business Partner Data Cloud synchronizes information automatically across your technology landscape, ensuring every system and team works with current, accurate partner data.
Changes to partner data flow through connected systems within seconds. Once a user updates a record in CRM, ERP or other systems, the synchronization engine picks up the change and sends it to all relevant applications.
The engine validates data quality before synchronizing to prevent errors from spreading.
Change logs capture timestamps, users and specific field updates for compliance tracking. And a rollback function lets you revert problematic changes when needed.
Updates move in both directions between your connected systems. When users modify partner data in any application, those changes reach all other systems. Rules determine how to handle simultaneous updates to prevent conflicts.
The engine maintains separate logs for inbound and outbound changes, letting you track data movement precisely. If systems go offline temporarily, the engine queues changes and applies them once connections resume.
Your systems use different formats for partner data. So, the transformation engine converts information to match each system's requirements. It translates field names, adjusts data types and restructures relationships while preserving data accuracy.
You can add custom conversion rules when systems have unique needs.
Quality checks prevent bad transformations from spreading through your systems, and error logs help you spot and fix transformation problems quickly.
Business Partner Data Cloud is certified for DEBMAS message types. So, your customer data exchange will also work flawlessly if you use SAP.
The control framework gives you precise management over partner data movement between systems. Using customizable rules, you can filter which records synchronize based on type, status and other criteria, while setting priorities to handle high-volume periods efficiently.
As the system processes updates, it continuously monitors data volumes and performance, automatically adjusting patterns for optimal flow.
When issues arise, the framework employs automated retry logic or flags problems for manual review, keeping detailed records of all policies and changes to help you stay compliant.
See exactly how partner data moves between your systems. Dashboards show you current synchronization status, processing volumes and error rates. And performance metrics show processing times and system loads.
When problems occur, detailed error messages help you pinpoint the cause. You can also view historical data to see patterns in synchronization activity over time.
At any time, you can export monitoring data for analysis or compliance reporting, or set up alerts for critical synchronization issues.