Context Service Schema Mapping for CRM Configuration
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Solution Overview
Problem
Existing enterprise software systems lack a standard configuration that meets user requirements, making it difficult for users to configure them optimally for their specific needs due to complexity.
Innovation Solution
An approach that defines a canonical schema and maps it to transactional contexts, allowing users to customize the system configuration through a user interface without coding, using a context service that includes an administration UI and high-performance runtime service to process mappings.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If a standard configuration is provided for enterprise software systems, then ease of operation is improved, but adaptability to specific user requirements deteriorates
Solution Approach 1:
The system is segmented into multiple configurable layers including schema definitions, mapping configurations, and context services. Each layer can be independently configured to meet specific user requirements while maintaining overall system coherence. This segmentation allows users to customize individual components without affecting the entire system.
Solution Approach 2:
The configuration system is designed to be dynamic, allowing users to modify schemas, mappings, and service configurations at runtime. The context service dynamically adapts to different transactional contexts and user requirements, enabling the system to evolve from a static standard configuration to a flexible, user-specific configuration.
2Ease of operation
If the system provides out-of-the-box configuration, then ease of operation is improved, but device complexity is reduced making it easier for users to configure
Solution Approach 1:
A context service is introduced as an intermediary layer between the user interface and the underlying complex enterprise software system. This mediator handles the complexity of schema mappings and configuration transformations, presenting a simplified interface to users while managing the intricate system complexity behind the scenes.
Solution Approach 2:
The system uses schema copying and mapping mechanisms where standard configurations can be copied and adapted to specific user needs. Users can start with pre-defined schema templates and mappings, then customize them without having to build configurations from scratch, reducing the perceived complexity.
3Adaptability or versatility
If the system is highly configurable to meet specific requirements, then adaptability is improved, but device complexity increases making it difficult for users to configure
Solution Approach 1:
Standard schemas, mappings, and configuration templates are prepared in advance through preliminary action. These pre-configured elements provide a solid foundation that users can build upon, reducing the complexity of configuration tasks while maintaining high adaptability to specific requirements.
Solution Approach 2:
The system enables self-service configuration through automated schema validation, mapping recommendations, and context-aware service selection. The configuration system guides users through the process automatically, reducing the complexity burden while allowing extensive customization.
Data Source
AI summary
Disclosed is an improved approach for implementing enterprise software systems that addresses the above-described problems with existing systems. The present approach provides an effective and efficient way for defining schemas for services, and to define how to map the schema to particular transactional contexts.