Adaptive Data Governance System for Workflow Maintenance
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Solution Overview
Problem
Conventional business process management systems require multiple workflows to be created for different organizational structures, leading to inefficiencies and increased maintenance efforts due to static organizational hierarchies and frequent changes within organizations.
Innovation Solution
An adaptive data governance system that executes workflows contextually based on a multi-structure hierarchy model, allowing a single workflow model to support multiple data contexts through conditional stages coordinated with the hierarchy, reducing the need for redundant workflows and simplifying maintenance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If multiple separate workflows are created for different organizational structures, then each workflow can be precisely tailored to specific approval needs, but the system complexity and maintenance effort increase significantly
Solution Approach 1:
The patent implements a single workflow model that can serve multiple organizational structures and approval scenarios through dynamic configuration. The workflow engine evaluates organizational context at runtime and adapts the workflow execution path accordingly, allowing one workflow definition to handle multiple approval scenarios that previously required separate workflows.
Solution Approach 2:
The workflow system incorporates dynamic evaluation of organizational context during execution. The workflow can adapt its path, stages, and approval requirements based on real-time organizational data, making the workflow flexible and responsive to different organizational structures without requiring pre-defined separate workflows for each structure.
2Reliability
If workflows are created for each organizational variant, then specific approval requirements are met, but maintenance effort increases due to frequent organizational changes
Solution Approach 1:
The workflow system automatically adapts to organizational changes by evaluating current organizational context during workflow execution. When organizational structure changes occur, the system self-adjusts the workflow paths and approval requirements without requiring manual intervention to recreate or modify workflows, thereby reducing maintenance effort while maintaining approval compliance.
Solution Approach 2:
The system continuously evaluates organizational context and uses this feedback to dynamically adjust workflow execution. This feedback mechanism ensures that workflows remain compliant with current organizational structures and approval requirements, automatically adapting when changes occur without requiring manual updates to workflow definitions.
3Ease of repair
If a single adaptive workflow model is used, then maintenance effort is reduced, but the system must handle greater variability in organizational contexts
Solution Approach 1:
The single workflow model incorporates dynamic evaluation capabilities that assess organizational context at runtime. This allows the workflow to adapt its execution path, stages, and approval requirements based on the specific organizational scenario being processed, providing high versatility while maintaining a single unified workflow definition that is easy to maintain.
Solution Approach 2:
The workflow system uses parameter-based configuration to handle organizational variability. By changing workflow parameters and execution conditions based on organizational context rather than creating separate workflows, the system achieves high adaptability to different organizational structures while maintaining a single manageable workflow model.
4Manufacturing precision
If multiple workflows are maintained for different scenarios, then specific approval paths are optimized, but time is lost in selecting and configuring the appropriate workflow
Solution Approach 1:
The system pre-configures a comprehensive single workflow model that incorporates multiple possible approval paths and scenarios within its structure. This preliminary preparation allows the workflow engine to quickly select and execute the appropriate path based on organizational context without requiring time-consuming workflow selection or configuration at runtime, thus reducing time loss while maintaining precise approval paths.
Data Source
AI summary
Disclosed is a method, system, and computer program product for implementing adaptive business workflows, where the context is coordinated with a hierarchy. The adaptive workflow may include conditional stages that are also coordinated with the hierarchy.