Query Resolution System with Graphical Interface for Data Inconsistency
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Solution Overview
Problem
Inconsistencies in data dispersed across multiple entities often lead to communication challenges, where no single entity has sufficient information to resolve discrepancies, and current third-party systems provide limited insights into how resolutions are reached.
Innovation Solution
A system and method utilizing graphical user interfaces to receive queries for data resolution, generate documentation, and publish resolutions, which includes creating instances in a queue, selecting queries based on priority, generating graphical user interfaces for input and output, and storing documentation to provide detailed insights into the resolution process.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a third-party system collects data from multiple entities to resolve inconsistent data, then the resolution capability is improved, but the transparency and insight into the resolution process deteriorates
Solution Approach 1:
The system generates comprehensive documentation that captures the entire resolution process, including the inconsistent data identified, the resolution actions taken, and the final resolution. This documentation is stored and made accessible, providing transparent feedback about how resolutions are reached while maintaining the collaborative data collection process among multiple entities.
2Adaptability or versatility
If multiple entities maintain dispersed data independently, then the data autonomy is improved, but the data consistency deteriorates
Solution Approach 1:
The system acts as an intermediary that receives queries from any entity about inconsistent data, coordinates data collection from multiple sources, and manages the resolution process. This intermediary role allows entities to maintain their data autonomy while ensuring consistency through centralized coordination and documentation of resolution actions.
3Device complexity
If entities are ill-equipped to communicate data among one another, then the system simplicity is improved, but the communication capability deteriorates
Solution Approach 1:
The system provides a universal communication platform that handles multiple functions: receiving queries from any entity, collecting data from multiple sources, generating comprehensive documentation, storing resolution information, and publishing results. This multi-functional approach enables entities with limited communication capabilities to effectively exchange and resolve data inconsistencies through a single unified system.
Data Source
AI summary
Methods and systems for query resolution through graphical user interfaces are disclosed. In one aspect, a system is disclosed that includes a processor and data storage including instructions that, when executed by the processor, cause the system to perform operations. The operations include receiving a query requesting resolution of inconsistent data; based on the query, creating an instance in a queue, where the instance identifies a priority and a task for the query; based on the priority, selecting the query from the queue and initiating resolution of the inconsistent data by generating a graphical user interface to accomplish the task; while accomplishing the task, generating each of (i) a documentation documenting the inconsistent data and the task and (ii) a resolution resolving the inconsistent data; storing the documentation; and publishing the resolution.