Global Database for Decision Making Application Data Reuse
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Solution Overview
Problem
Existing decision-making applications manage information independently, making it inefficient to reuse comparison data from previous applications when creating new ones, leading to redundant data entry and slower development processes.
Innovation Solution
A method and system that utilize a global database to link and convert attribute and item data from existing decision-making applications, allowing creators to speed up the creation of new applications by defining default databases, calculating global attribute values, and converting them into local attributes for new applications.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If decision-making applications manage information independently, then each application can operate autonomously, but data redundancy increases and development efficiency decreases
Solution Approach 1:
The patent merges data from multiple independent decision-making applications into a single global database. Attributes and items are linked across applications, allowing reuse of comparison data when creating new applications. This eliminates redundant data entry and improves development efficiency by leveraging existing data structures and attribute definitions from previous applications.
2Loss of time
If existing data is reused across applications, then development time is reduced, but data consistency and adaptability become more difficult to maintain
Solution Approach 1:
The patent segments data into distinct attributes and items that can be independently defined and linked. The global database organizes data hierarchically with attributes that can be selectively applied to different items across applications. This segmentation allows efficient reuse of common data structures while maintaining the flexibility to adapt data to specific application requirements through selective linking and configuration.
Solution Approach 2:
The system provides dynamic data adaptation through flexible linking mechanisms. Attributes can be linked to different items and applications based on contextual requirements. The system can dynamically configure which attributes are applied to which items, allowing the same global database to adapt to different decision-making scenarios while maintaining consistency through standardized attribute definitions.
Data Source
AI summary
A method, a server, a database and a computer program product by means of which comparison data of decision making applications can be enriched so that they may be utilized in other decision making applications. An application specific default database is first defined by selecting attributes to be assessed; selecting items to be compared; linking the selected attributes to the items by default attribute values and saving the defined default database of the decision making application to a global database. From the saved default attributes of items it is then calculated global attribute values to said items. The global attributes are then saved also to the global database. A second decision making application may be converted from the global attributes by first selecting a sub-group of items from all items of the global database. Then global attributes of items of the sub-group are converted to the local attributes, whereby speeding up creation of the second decision making application.