Data Approval System with Modular Data-Handling
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Solution Overview
Problem
Current data approval systems lack flexibility and suffer from duplication in development due to the early selection of data management methods, leading to bespoke solutions for different approval processes.
Innovation Solution
A data approval system with a transaction model and differentiated data-handling modules, allowing configuration of data management methods through storage devices, enabling the selection of appropriate modules based on configuration parameters for each approval process.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If developers choose a particular data management method based on personal preference or relevance to a specific approval process, then the system can be tailored to fit the specific approval process requirements, but the system lacks flexibility for other approval processes and results in high duplication during system development
Solution Approach 1:
The system is segmented into a generic transaction model framework and multiple specific data handling modules. Each module is independently developed and can be selected based on the specific approval process requirements. This segmentation allows the core framework to remain simple while enabling versatility through module selection, resolving the contradiction between adaptability and complexity.
Solution Approach 2:
The generic transaction model framework is designed to be universal and can work with multiple different data handling modules. This multi-functionality allows the same framework to support various approval processes (promotion management, media rental, etc.) without requiring separate bespoke solutions, thereby reducing duplication while maintaining adaptability.
2Productivity
If a generic transaction model is used across multiple approval processes, then duplication of effort is reduced, but the ability to implement process-specific data handling methods is limited
Solution Approach 1:
The system dynamically selects and configures appropriate data handling modules based on the specific approval process requirements. This dynamic configuration allows the generic framework to adapt to different processes at runtime, maintaining both high development efficiency (through code reuse) and process-specific handling capability (through module selection).
Solution Approach 2:
The generic transaction model acts as an intermediary layer between the approval process logic and the specific data handling modules. This mediator pattern allows the framework to remain process-agnostic while enabling specific data handling methods through the selected modules, thus resolving the contradiction between productivity and adaptability.
3Adaptability or versatility
If bespoke solutions are developed for each approval process, then the system can be highly tailored to specific requirements, but the development time and effort increase significantly
Solution Approach 1:
Multiple data handling modules are pre-developed and ready for selection based on specific approval process requirements. This preliminary preparation of modular components eliminates the need to develop bespoke solutions from scratch for each process, significantly reducing development time while maintaining the ability to tailor the system to specific requirements through module selection.
Data Source
AI summary
A data approval system is provided. The system comprises a transaction model comprising program code for implementing one or more computer-implemented methods for use in an approval process, the approval process comprising an approval operation; a plurality of differentiated data-handling modules adapted to provide different methods for managing data during the approval process, wherein each module comprises program code for implementing one or more computer-implemented methods; and a storage device for storing configuration parameters that are configurable for a particular approval process; wherein the data approval system is adapted to select one or more data-handling modules from the plurality of modules to manage data during the approval process based on the configuration parameters.