Unified Decision Data Model for Cross-Application Information Sharing
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Solution Overview
Problem
Current decision-making applications store and manage data in disparate ways, leading to redundant data entry and lack of data sharing between different applications, which are not designed to communicate with each other.
Innovation Solution
A system that parses data from various applications into uniform data items and creates relationships between them, storing them in a common structure accessible by all applications, using a client-server database environment and a decision storage module to facilitate centralized data management and sharing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If multiple separate applications are used for different decision-making tasks, then each application can provide specialized functionality, but data redundancy increases and data sharing between applications becomes impossible
Solution Approach 1:
The patent merges multiple separate decision-making applications into a unified system that shares a common data model and centralized database. Different decision-making functionalities (such as meeting agenda creation, prioritization, and analysis tools) are integrated within a single application framework, allowing them to share data structures and access the same underlying data repository, thereby eliminating redundant data storage while preserving functional versatility.
Solution Approach 2:
The patent implements a universal data model that serves multiple decision-making functions simultaneously. The common data model defines standardized data structures that can be utilized by various decision-making tools and features within the application, enabling a single system to perform multiple specialized tasks without requiring separate applications for each function.
2Adaptability or versatility
If multiple separate applications are used for different decision-making tasks, then each application can operate independently, but data sharing and integration between applications cannot occur
Solution Approach 1:
The patent introduces a common data model as an intermediary layer between different decision-making functionalities. This standardized data structure acts as a mediator that enables data sharing and integration across various application features while maintaining their operational independence. The common data model provides a universal interface that allows different tools to access and exchange data without requiring direct integration between each pair of functions.
3Ease of manufacture
If data is stored in different ways in separate applications, then each application can optimize its data structure for its specific purpose, but the complexity of managing multiple data formats increases
Solution Approach 1:
The patent applies homogeneity by implementing a common data model with standardized data structures that are used consistently across all decision-making functionalities. Instead of having each feature use customized data formats, the system employs uniform data structures for storing decisions, options, criteria, and related information, which simplifies data management and reduces the complexity associated with handling multiple different data formats.
Data Source
AI summary
In an embodiment, a method is provided for storing information related to a decision making process. In this method, data items that are associated with a choice, a fact, and/or a decision are accessed. These data items are used in an application that provides a functionality associated with the decision making process. A relationship between the data items is then created based on a context in which the data items are used in the application. The data items and the relationship are stored in a common data structure that is accessible by a different application that provides a different functionality associated with the decision making process.