Aligned Purpose Disassociation in Multi-System Landscapes
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Solution Overview
Problem
In a multi-system landscape, distributed end of purpose checks and purpose disassociations can lead to inconsistencies and errors due to lack of alignment, causing one system to disassociate a purpose from an object only to have another system replicate it back with the purpose attached, and new transactional data referencing master data objects can result in unexpected errors.
Innovation Solution
An aligned purpose disassociation approach where each system performs a local 'can disassociate purpose' decision without actual disassociation, and a central component evaluates these decisions to provide disassociation instructions to systems, ensuring synchronized disassociation across the landscape.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If distributed end of purpose checks are performed independently by each system, then each system can make local disassociation decisions autonomously, but inconsistencies and errors occur when one system disassociates a purpose from an object only to have another system replicate it back with the purpose attached
Solution Approach 1:
A central component is introduced as an intermediary to coordinate purpose disassociation decisions across multiple systems. Each system sends its local can-disassociate status to the central component, which evaluates all statuses and determines a central disassociate purpose decision. This mediator ensures that all systems remain synchronized and prevents the inconsistency problem where one system disassociates a purpose only to have another system replicate it back.
2Reliability
If synchronous calls are used to ensure alignment across systems, then data consistency is maintained, but the process becomes time-consuming
Solution Approach 1:
Each system performs a preliminary local evaluation and determines its can-disassociate status in advance, without waiting for other systems. These preliminary decisions are then submitted to the central component for coordinated final determination. This preliminary action reduces the need for time-consuming synchronous calls while maintaining consistency through the central coordination mechanism.
3Productivity
If systems perform local can-disassociate decisions independently, then processing speed increases, but regulatory compliance may be compromised due to lack of alignment
Solution Approach 1:
The central component collects feedback from all systems in the form of can-disassociate statuses, evaluates this feedback comprehensively, and generates a central disassociate purpose decision that ensures regulatory compliance. This feedback mechanism allows systems to operate independently at high speed while the central component maintains alignment and compliance by considering all system perspectives before making the final decision.
Data Source
AI summary
The present disclosure involves systems, software, and computer implemented methods for aligned purpose disassociation in a multi-system landscape. One example method includes receiving, from multiple systems, a can-disassociate status for a purpose for an object instance. The status from a respective system can be an affirmative status that indicates that the system can disassociate the purpose from the instance or a negative status that indicates that the system cannot disassociate the purpose from the instance. The received statuses are evaluated to determine a central disassociate purpose decision for the purpose for the instance. The central disassociate purpose decision can be to disassociate the purpose from the instance when no system has the negative status and to not disassociate the purpose from the instance when at least one system has the negative status. The central disassociate purpose decision is provided to at least some of the multiple systems.