Centralized Data Verification With Third-Party Format Conversion
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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computing resources due to inconsistent data formats and infrastructure deficiencies, leading to incomplete and outdated information, especially in industries like homeownership transactions where multiple third-party systems are involved.
Innovation Solution
A centralized data verification system that converts unsupported verification data structures from third-party systems into a supported format using validation rules, facilitating seamless, real-time data retrieval and storage, and identifying errors through automated processes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If data is transferred between independent computing resources using multiple third-party systems, then data exchange capability is improved, but synchronization errors and computational inefficiency increase
Solution Approach 1:
The patent introduces a centralized verification system as an intermediary between multiple third-party systems. This verification system receives data from various third-party sources, validates it against a centralized data model, and resolves conflicts before distributing verified data back to the participants. The intermediary handles format conversion, validation rule application, and conflict resolution, thereby maintaining synchronization accuracy while enabling versatile data exchange.
2Stability of the object's composition
If data formats are standardized across third-party systems, then data consistency is improved, but system complexity increases
Solution Approach 1:
The patent segments the data standardization process into distinct components: a centralized verification system that maintains the master data model, format conversion modules that handle specific third-party formats, and validation rule engines that check data integrity. Each component has a specialized function, reducing overall system complexity while achieving data consistency. The verification system acts as a central coordinator that manages the interactions between these segmented components.
3Measurement precision
If real-time data verification is implemented across multiple systems, then data accuracy is improved, but computational overhead increases
Solution Approach 1:
The patent implements preliminary validation rules and data verification checks before data is fully processed and distributed. The centralized verification system pre-validates data formats, checks data integrity against the centralized model, and identifies potential conflicts early in the data exchange process. This preliminary action prevents unnecessary computational overhead later by filtering out invalid data before it requires extensive processing.
4Adaptability or versatility
If manual intervention is used for regulatory compliance updates, then adaptability to regulations is improved, but operational efficiency decreases
Solution Approach 1:
The patent implements a dynamic verification system where validation rules and data models can be updated in response to regulatory changes. The centralized verification system maintains a configurable set of validation rules that can be modified without requiring manual intervention in each third-party system. When regulatory requirements change, the verification system's rules are updated centrally, and the changes automatically propagate to all data exchange operations, maintaining both adaptability and operational efficiency.
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.


