Third-Party Data Validation for SaaS Record Synchronization
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Solution Overview
Problem
SaaS applications often experience data-record mismatches due to delayed notifications and data corruption, leading to unsynchronized data processing and reporting across globally distributed servers managed by different providers.
Innovation Solution
Implementing validation functions and predefined actions for data records to synchronize data between source and target systems, including aggregation operations and manual intervention when mismatches are detected.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If data records are synchronized between source and target systems using traditional methods, then data consistency is maintained, but network traffic increases and processing time is extended
Solution Approach 1:
The patent extracts the essential synchronization information into compact representations (hashes, diffs, metadata) rather than transferring complete data records. This allows the system to maintain data consistency while significantly reducing network traffic and processing time by only transmitting the minimal necessary information for validation and synchronization.
Solution Approach 2:
The system performs preliminary actions by generating and comparing data representations (hashes, diffs) before actual data transfer. This preliminary validation step identifies which records need synchronization, allowing the system to avoid unnecessary data transmission and focus only on records that require updates, thereby reducing overall synchronization time.
2Measurement precision
If complete data records are transmitted for validation, then accuracy is ensured, but network bandwidth consumption increases
Solution Approach 1:
The patent extracts critical validation information from complete data records, using hashes, diffs, and metadata as compact representations that preserve validation accuracy while consuming minimal network bandwidth. These extracted representations contain sufficient information to verify data integrity without requiring transmission of the entire data record.
Solution Approach 2:
The system creates and transmits compact copies (hashes, diffs) of data records instead of the full records themselves. These copies serve as sufficient validation tokens that ensure accuracy through cryptographic or structural verification while dramatically reducing network bandwidth consumption compared to transmitting complete data sets.
3Reliability
If real-time synchronization is implemented between distributed systems, then data integrity is maintained, but system complexity increases
Solution Approach 1:
The patent introduces intermediary components (validation services, comparison engines, synchronization coordinators) that mediate between source and target systems. These intermediaries handle the complex tasks of generating representations, comparing data, detecting mismatches, and coordinating corrections, thereby maintaining data integrity while abstracting and managing system complexity in a modular fashion.
Solution Approach 2:
The system implements feedback mechanisms where synchronization status, mismatch detections, and validation results are continuously monitored and communicated back to relevant systems. This feedback loop enables automatic correction of data integrity issues and provides visibility into synchronization state, maintaining reliability while using structured feedback protocols to manage complexity.
Data Source
AI summary
Synchronizing loosely coupled systems where a third-party system receives from a source system a source evaluation of a validation function based on a data record sent to a target system, and the third party receives from the target system a target evaluation of the validation function based on the data record received by the target system. The third-party system compares the source evaluation to the target evaluation and, in response to a mismatch, the third-party system executes a predefined action for synchronizing the data record at the target system with the data record at the source system. The predefined action may comprise the third-party system sending to the source system a request to resend the data record to the target system.