Multi-Source Suggestion Coordination for Consistent Business Listing Data
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Solution Overview
Problem
The challenge in maintaining accurate, complete, and uniform business listing data across multiple online publisher systems is exacerbated by the lack of awareness of errors or changes in entity information, leading to incorrect, incomplete, or stale information being published, which can result in lost business opportunities and customer dissatisfaction.
Innovation Solution
A data suggestion management system that collects, manages, and verifies data suggestions from multiple sources, allowing entities to approve or reject these suggestions through integrated interfaces, ensuring uniform data dissemination across publisher systems.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Speed
If data is automatically published across multiple publisher systems, then information dissemination speed is improved, but data accuracy and consistency deteriorate
Solution Approach 1:
The patent introduces a central entity system as an intermediary between multiple publisher systems. This entity system receives, verifies, and coordinates data updates across all publishers, ensuring data accuracy while maintaining efficient dissemination. The intermediary validates data suggestions and manages the approval process, preventing inaccurate data from being published while preserving the speed benefits of multi-system publication.
Solution Approach 2:
The patent implements a feedback mechanism where publisher systems report data changes back to the entity system, which then verifies and coordinates updates across all publishers. This feedback loop ensures that data accuracy is maintained through continuous verification while enabling rapid information dissemination once validation is complete. The system monitors and adjusts data consistency across publishers based on this feedback.
2Reliability
If manual verification of data suggestions is implemented, then data accuracy is improved, but processing time increases
Solution Approach 1:
The patent implements preliminary action by having the entity system pre-configure verification rules, approval workflows, and data validation criteria before data suggestions arrive. This preparation allows the system to quickly process incoming data suggestions against pre-established criteria, maintaining high data accuracy while minimizing processing time. The entity system is ready to verify and approve data changes immediately upon receipt.
Solution Approach 2:
The patent segments the data verification process into distinct modular components: initial validation, detailed verification, approval decision, and publication coordination. This segmentation allows each stage to be processed efficiently with appropriate resource allocation, reducing overall processing time while maintaining comprehensive data accuracy checks at each segment.
3Adaptability or versatility
If multiple publisher systems are used, then information coverage is improved, but data consistency deteriorates
Solution Approach 1:
The patent merges the data management functions of multiple publisher systems into a coordinated entity system that maintains a single source of truth. While publishers continue to operate independently and provide broad information coverage, the entity system consolidates data verification and coordination, ensuring that all publishers draw from the same validated data sources, thereby maintaining consistency across the distributed system.
Solution Approach 2:
The patent creates a universal entity system that performs multiple functions: data reception, verification, coordination, and distribution management. This multi-functional system works with all publisher systems uniformly, ensuring consistent data standards and verification processes across diverse publishing platforms, thereby maintaining data consistency while enabling broad information coverage through multiple channels.
Data Source
AI summary
Implementations of the disclosure provide a system for managing data suggestions processed by multiple different source systems. A first suggestion associated with first data associated with an entity system is received from a first system. A second suggestion associated with the first data associated with the entity system is received from a second system. An indication of an acceptance of the first suggestion is received from the entity system. The first suggestion is applied to the first data to generate updated first data. The updated first data is transmitted to the first system and the second system.