Risk Relationship Entity Interaction Tracker
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Solution Overview
Problem
Current systems lack efficient, secure, and automated tools for accurately tracking entity interactions in risk relationship enterprises, such as insurance companies, which hinders performance evaluation and insight generation.
Innovation Solution
A back-end application computer server associates interaction identifiers with risk relationships, retrieves relevant parameters from data stores, and provides insights to a predictive model, facilitating secure and interactive user interface displays for improved tracking and analysis.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual tracking methods are used for entity interactions, then system complexity is reduced, but tracking accuracy and automation are insufficient
Solution Approach 1:
The system automatically tracks entity interactions without requiring manual intervention. The backend application computer server autonomously receives interaction information, retrieves relevant parameters from data stores, applies predictive models, and generates interaction insight results, enabling the system to serve itself in the tracking process.
Solution Approach 2:
The backend application computer server acts as an intermediary component that connects interaction data sources with predictive modeling tools and user interfaces. It coordinates data retrieval from multiple data stores, manages the predictive model execution, and facilitates communication between remote devices and the tracking system.
2Loss of information
If comprehensive data retrieval and predictive modeling are implemented, then interaction insights are improved, but processing time increases
Solution Approach 1:
The system pre-retrieves interaction parameters and risk relationship parameters from data stores before predictive modeling is executed. By preparing data in advance and having it readily available when needed, the system reduces processing delays during actual interaction analysis while maintaining comprehensive data coverage.
3Reliability
If secure data exchange with remote devices is implemented, then system security is improved, but communication efficiency may be reduced
Solution Approach 1:
The backend application computer server provides multiple functions including secure data exchange, predictive modeling, and user interface facilitation through a single integrated platform. This multi-functional approach maintains security while improving communication efficiency by consolidating operations rather than requiring separate secure systems for each function.
Data Source
AI summary
An entity interaction data store contains electronic records associated with interaction identifiers. For each interaction identifier, the data store includes an account identifier, an entity identifier, and interaction parameters. A risk relationship data store contains electronic records for accounts having risk relationships with an enterprise. A back-end application computer server may associate selected interaction identifiers in the entity interaction data store with selected accounts having risk relationships with the enterprise. The computer server may then retrieve interaction parameters from the entity interaction data store and risk relationship parameters from the risk relationship data store and provide the retrieved interactions parameters to an enterprise predictive model that outputs an interaction insight result. The computer server may also facilitate an exchange of data with a remote device to support interactive user interface displays that include information about the interaction insight result.