Data Update System Using Operating Functions for Version Control
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Solution Overview
Problem
Current data filing systems in the travel industry require airlines to duplicate standard data entry across institutional and proprietary systems, leading to errors and increased transmission burdens, as well as time-consuming amendment processes.
Innovation Solution
A method and system for updating data that involves receiving an update request, comparing the updated data with the current version, producing an operating function representing the change, and storing this function to ensure the correct data version is available, thereby eliminating the need for duplicate data entry and reducing transmission and processing time.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If airlines file standard data in both institutional and proprietary filing systems, then both systems can be utilized with their respective features, but data entry time and transmission volume increase significantly
Solution Approach 1:
The patent merges the data filing operations by allowing airlines to file standard data once in the institutional filing system, which then automatically transmits the data to proprietary filing systems. This combines the benefits of both systems while eliminating duplicate data entry, directly resolving the contradiction between system versatility and data entry time.
Solution Approach 2:
The institutional filing system serves multiple functions: it acts as the primary data repository for airlines and simultaneously serves as a distribution hub that automatically transmits data to multiple proprietary filing systems. This multi-functionality allows a single data entry to serve multiple purposes, reducing time loss while maintaining adaptability.
2Adaptability or versatility
If airlines file standard data in both institutional and proprietary filing systems, then both systems can be utilized, but the amount of transmitted data increases
Solution Approach 1:
The patent merges the data transmission process by establishing the institutional filing system as a centralized distribution hub. Standard data is transmitted once from airlines to the institutional system, which then automatically redistributes it to proprietary systems. This eliminates redundant data transmission, reducing data volume while maintaining system versatility.
3Reliability
If airlines need to amend standard data, then data accuracy can be maintained, but the amendment process becomes highly time consuming
Solution Approach 1:
The patent implements an automatic feedback mechanism where amendment requests made in the institutional filing system are automatically transmitted to and applied in connected proprietary filing systems. This feedback loop ensures data accuracy is maintained across all systems while eliminating the time-consuming manual amendment process, as changes are propagated automatically rather than requiring separate manual updates in each system.
4Adaptability or versatility
If airlines use only the proprietary filing system, then additional functionalities are available, but data distribution reach is limited
Solution Approach 1:
The patent merges the strengths of both filing system types by positioning the institutional filing system as a distribution hub that connects airlines with multiple proprietary systems. This allows airlines to access the additional functionalities of proprietary systems while benefiting from the wide distribution reach of the institutional system, as data filed once is automatically distributed to multiple destinations.
Data Source
AI summary
A method for updating data to ensure the correct version of the data is available for a user of a second data system. In the second data system, an update request is received from a first data entity to update the data in a component of the second data system. The update request comprises an updated version of the data. The updated version of the data is compared with a currently stored version of the data in the second component to determine a change therein. An operating function representative of the change in the data is produced. The operating function is applied to the currently stored version of the standard data to produce resulting data. The operating function is stored to ensure the correct version of the data is capable of being output if requested.