Front-end Data File Validation System
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Solution Overview
Problem
Inefficient data processing due to validation errors occurring at later stages in multiple computing system operations, leading to redundant processing and significant delays, as data files may not meet validation requirements for all systems involved, especially when formatting or technical changes occur without the sender's knowledge.
Innovation Solution
Implementing a centralized data file validation requirements database that stores and updates validation requirements for each computing system in real-time, allowing for front-end comprehensive validation of data files upon receipt, ensuring compliance with all downstream systems' requirements and providing immediate notification for any errors.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If validation is performed at each computing system in sequence, then each system ensures its own data requirements are met, but validation errors are detected late causing redundant processing and delays
Solution Approach 1:
The patent performs comprehensive validation of data files against all downstream computing systems' requirements at the point of submission, before the data enters the processing pipeline. This preliminary validation action prevents late detection of errors and eliminates the need for resubmission, directly resolving the contradiction by ensuring reliability upfront while minimizing time loss.
Solution Approach 2:
The patent segments the validation process into distinct components: file format validation, data entry validation, and cross-system requirement validation. Each validation type is handled separately by specific modules, allowing comprehensive checking without creating a bottleneck, thus maintaining both high reliability and efficient processing time.
2Productivity
If comprehensive validation against all systems is performed upfront, then validation errors are detected early preventing redundant processing, but the validation process becomes more complex
Solution Approach 1:
The patent creates a centralized validation system that serves multiple downstream computing systems through a single multi-functional interface. The validation engine can check against multiple systems' requirements simultaneously using unified rules and criteria, eliminating the need for separate validation processes for each system and managing complexity while maintaining high productivity.
Solution Approach 2:
The patent introduces a centralized validation service as an intermediary between data submitters and multiple downstream computing systems. This mediator handles all validation logic, rules, and comparisons centrally, simplifying the overall system architecture while enabling comprehensive validation across all systems, thus improving productivity without proportionally increasing complexity.
3Adaptability or versatility
If validation requirements are updated at computing systems, then systems can adapt to changing data standards, but senders may be unaware of changes leading to formatting errors
Solution Approach 1:
The patent implements a feedback mechanism where the centralized validation system communicates validation requirements, rules, and any failures back to the data submitter in real-time. When validation requirements are updated at downstream systems, these changes are reflected in the validation rules, and senders receive immediate feedback about required format changes, ensuring they have the information needed to comply with current standards.
Solution Approach 2:
The centralized validation service acts as an intermediary that receives updates from downstream computing systems and translates them into actionable validation rules and sender notifications. This mediator ensures that validation requirement changes are systematically communicated to senders, maintaining adaptability while preventing information loss about formatting requirements.
Data Source
AI summary
A system, method and the like for front-end comprehensive validation of data files that require processing by multiple different computing systems having different validation requirements. Validation for all of the multiple different computing systems is performed upon receipt of the data file by the data processing entity and, as such, in the event that validation results in an error/failure, the originator/sender of the data file can be notified of the error failure proximate in time to when the data file is transmitted to the data processing entity and can re-submit a valid data file in due time. In addition, the present invention is configured to insure that the validation meets the current requirements of all the computing systems that process the data file by employing a centralized data file validation requirements database that stores validation requirements for each of the computing systems.