Centralized Data Verification for Cross-System Format Synchronization
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Solution Overview
Problem
Existing computing systems face inefficiencies and synchronization errors when transferring data between independent computing resources due to inconsistent data formats and infrastructure deficiencies, leading to incomplete and outdated information, especially in transactions involving multiple third-party entities.
Innovation Solution
A centralized data verification system that converts unsupported data structures from third-party systems into a supported format using validation rules, facilitating seamless and efficient data retrieval, storage, and verification, with automated error detection and compliance with regulatory changes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If data is transferred between independent computing resources using existing systems, then data transfer capability is provided, but synchronization errors and computational inefficiency occur due to inconsistent data formats
Solution Approach 1:
The patent introduces a centralized verification system as an intermediary between independent computing resources. This verification system receives data structure inquiries from external systems, converts unsupported data structures into supported formats using validation rules, and returns verified data. The intermediary handles format conversion and validation, preventing synchronization errors while maintaining system independence.
Solution Approach 2:
The patent changes the data structure format parameter by converting unsupported data structures from third-party systems into a standardized supported format. The verification system applies validation rules to transform data structures, ensuring consistency across different computing resources while maintaining the underlying data integrity.
2Adaptability or versatility
If multiple third-party systems with unique data formats are integrated, then data retrieval capability is provided, but synchronization errors and information outdatedness occur
Solution Approach 1:
The centralized verification system serves as a mediator that receives data structure inquiries from multiple third-party systems with unique formats. It converts each system's unsupported data structure into a unified supported format using specific validation rules, ensuring data consistency across all integrated systems while maintaining their individual adaptability.
Solution Approach 2:
The verification system implements a universal data structure format that can accommodate multiple third-party systems with different unique formats. The supported data structure serves as a common interface that all external systems can interact with, providing universal compatibility while maintaining data consistency through centralized validation rules.
3Measurement precision
If data verification is performed between independent computing resources, then data accuracy is improved, but computational overhead increases
Solution Approach 1:
The verification system performs preliminary validation and conversion actions before data is used by external systems. By pre-converting unsupported data structures into supported formats and pre-validating data accuracy, the system eliminates the need for repeated verification operations, thereby improving processing efficiency while maintaining high verification accuracy.
Solution Approach 2:
The verification system uses automated validation rules that self-evaluate incoming data structures and perform conversions without requiring manual intervention or complex external verification processes. This self-service approach streamlines the verification operation, reducing computational overhead while maintaining data accuracy.
4Ease of manufacture
If unsupported data structures from third-party systems are directly used, then system integration is simplified, but data format inconsistencies and synchronization errors occur
Solution Approach 1:
The centralized verification system acts as an intermediary layer between external systems and the internal data processing infrastructure. It receives data structure inquiries from third-party systems, performs format conversion using validation rules, and returns standardized supported formats. This intermediary approach maintains integration simplicity while ensuring data synchronization reliability.
Data Source
AI summary
Various embodiments are directed to apparatuses, methods, and computer program products for executing centralized data verification using supported data structures associated with one or more third-party system. In various embodiments, an apparatus is configured to retrieve from a verification system repository associated with a verification system a supported data structure associated with a data structure identifier from the verification system repository; based on the third-party system identifier associated with the data structure, provide a data structure inquiry request data packet to a third-party resource to request a verification data structure associated with the data structure identifier from the third-party resource; receive an unsupported verification data structure associated with the data structure identifier from the third-party resource in an unsupported format defined by the third-party resource; convert the unsupported verification data structure into a supported format in association with generating a supported verification data structure using one or more validation rules.