License Data Mapping Across Disparate Databases With Change Flagging
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Professional records in disparate data sources and databases with varying data structures and formats are difficult to access and process accurately and efficiently, with issues in updating and tracking changes, necessitating a system for mapping licenses data and flagging record changes.
Innovation Solution
A system and method for mapping licenses from disparate data sources by analyzing data structures, cross-referencing records, and flagging changes, including storing professional information, verifying licenses, and providing a presentation of status and editing capabilities.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If professional records are stored in disparate data sources and databases with varying data structures and formats, then the quantity and diversity of professional records increase, but the difficulty and cost of accessing and processing these records increase
Solution Approach 1:
The patent segments the data processing system into distinct functional modules: data reception modules for receiving records from multiple sources, data structure analysis modules for analyzing varying formats, mapping modules for cross-referencing and standardizing data, and presentation modules for displaying processed information. This segmentation allows each module to handle specific tasks independently, managing the complexity of processing diverse professional records from disparate sources.
2Adaptability or versatility
If professional records are stored in disparate data sources with varying data structures and formats, then the diversity of data sources increases, but the accuracy and efficiency of accessing and processing records decrease
Solution Approach 1:
The patent applies parameter changes by dynamically adapting data structure parameters based on the source being accessed. The system analyzes the specific data structure and format parameters of each disparate data source, then transforms the records into a standardized format with consistent parameters for processing. This allows the system to maintain high processing efficiency while accommodating diverse data sources with varying structures and formats.
3Adaptability or versatility
If professional records are stored in disparate data sources with varying data structures and formats, then the variety of record formats increases, but the difficulty of accurate processing increases
Solution Approach 1:
The patent introduces intermediary components including data structure analysis modules that act as mediators between disparate data sources and the processing system, and mapping modules that serve as intermediaries for cross-referencing and standardizing data. These intermediaries translate and harmonize various record formats into a unified structure, ensuring accurate processing while maintaining the ability to handle diverse formats from multiple sources.
4Device complexity
If professional records are not updated and tracked on a regular basis, then the simplicity of the system is maintained, but the reliability of the information decreases
Solution Approach 1:
The patent implements feedback mechanisms through presentation modules that display professional records with status indicators showing whether information is current or outdated. The system provides feedback about record freshness and tracking status to users, enabling them to identify and update records that require attention. This feedback loop maintains reliability by highlighting records that need updating without requiring complex automated tracking of every change.
Data Source
AI summary
A system and method for mapping licenses from disparate data sources and databases from third parties triggered by a system registration request, analyzing data structures for license information records and third-party information records, cross-referencing a license record with a third-party information record, flagging database records that reflect a license field record change, updating mapping-related procedures and queries, and providing a presentation of license information records and related status.


