Cloud Data Validation Service for Multi-System Conflict Checking
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Solution Overview
Problem
Inconsistent data validations across multiple systems lead to undetected data errors, making it difficult to identify and fix errors, especially when the data injection point is unknown or difficult to find, thereby increasing complexity and time in error resolution.
Innovation Solution
A data integrity and validation system that stores rules for multiple destination systems, receives data messages, compares them to validation rules, and adjusts or corrects errors before transmission, ensuring data is properly formatted and validated for each system, including detecting conflicts and generating formats to accommodate different requirements.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If data is transmitted to multiple destination systems without centralized validation, then system complexity is reduced and ease of operation is improved, but data validation consistency deteriorates and errors increase
Solution Approach 1:
The patent introduces a Data Validation Service (DVS) as an intermediary component between data sources and multiple destination systems. This mediator receives data from sources, validates it against rules from multiple destinations, and transforms it into formats compatible with each destination system. The intermediary absorbs the complexity of validation and format transformation, allowing source systems to transmit data simply while ensuring consistent and reliable validation across all destinations.
2Reliability
If centralized validation is implemented for multiple destination systems, then data validation consistency is improved, but device complexity increases
Solution Approach 1:
The patent segments the validation system into distinct modular components: a Data Validation Service that handles validation logic, separate validation rules for each destination system, and individual format transformation modules. This segmentation allows the complex validation functionality to be divided into manageable units that can be independently developed, maintained, and scaled. Each destination system has its own validation rules stored separately, making the overall system more manageable despite the increased functionality.
Solution Approach 2:
The Data Validation Service is designed as a universal platform that can validate data for multiple different destination systems simultaneously. It maintains a centralized repository of validation rules and format specifications, allowing a single service instance to handle validation requirements from numerous destinations. This multi-functionality consolidates what would otherwise require multiple separate validation systems into one unified service, managing complexity through shared resources.
3Adaptability or versatility
If validation rules are stored centrally for multiple destination systems, then adaptability to different systems is improved, but ease of operation deteriorates due to rule management complexity
Solution Approach 1:
The validation rules are stored in a dynamic, configurable format that allows the system to adapt to changing requirements of different destination systems. The rules are maintained in a centralized database or configuration store that can be updated without affecting the core validation logic. This dynamic storage mechanism enables the system to accommodate new destination systems or modified requirements by simply updating the rule definitions rather than rewriting validation code, making the system highly adaptable while keeping management straightforward through centralized configuration.
Data Source
AI summary
A computer system for performing cloud-based enhanced rules conflict checking is provided. The computer system is programmed to store a plurality of rules for transmitting to a plurality of destination systems and receive a data message for transmission to the plurality of destination systems from a first requesting system. The computer system is programmed to compare the data message to a first set of rules to validate the data message and if the data message is validated for the first set of rules, instruct the first requesting system to transmit the data message to the plurality of destination systems. The computer system is further programmed to receive the data message for transmission to one or more remaining destination systems from a second requesting system and compare the data message to a second set of rules for validating the data message.