Graph Database Risk Pathway Visualization
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Solution Overview
Problem
Current systems for monitoring and evaluating financial crime and sanctions-related risks in banking and financial systems are inadequate in providing a quick and cogent representation of risks, struggling with the complexity of information and inefficiency in interactive information delivery.
Innovation Solution
A computer-implemented system utilizing a graph database and style guide to identify and visualize direct and indirect relationships between entities, allowing analysts and customers to interactively investigate and evaluate financial crime and sanctions-related risks through an internal and external production environment, with a software engine that traverses pathways and assigns weights to nodes and edges to determine relevance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If traditional monitoring systems are used to track financial crime risks, then comprehensive data collection is achieved, but the system complexity and difficulty in representing risks cogently increase
Solution Approach 1:
The system segments the complex financial network data into discrete graph elements (nodes representing entities, edges representing relationships). This segmentation allows comprehensive data to be organized in a structured format that reduces system complexity while maintaining information completeness.
Solution Approach 2:
The patent transforms flat tabular data into a multi-dimensional graph structure with nodes, edges, and properties. This dimensional transformation enables the system to represent complex relationships more efficiently, reducing the complexity of risk representation while preserving comprehensive information.
2Measurement precision
If detailed information is provided to assess risks thoroughly, then measurement precision is improved, but the efficiency in delivering information interactively deteriorates
Solution Approach 1:
The system performs preliminary actions by pre-computing and storing risk scores, relationship paths, and connection metrics in the graph database. This allows the system to deliver precise risk assessments interactively without real-time computation delays, improving both precision and efficiency.
Solution Approach 2:
The patent creates simplified visual copies and representations of complex risk data through graph visualizations. These visual copies present detailed risk information in an easily consumable format, maintaining measurement precision while dramatically improving information delivery efficiency.
3Ease of operation
If manual analysis methods are used to evaluate relationships, then ease of operation is maintained, but the speed of risk identification deteriorates
Solution Approach 1:
The system implements self-service by automatically traversing the graph database to identify risk pathways, calculate risk scores, and generate visualizations without manual intervention. This maintains ease of operation while dramatically accelerating risk identification speed through automated algorithms.
Solution Approach 2:
The patent replaces manual mechanical analysis methods with automated computer-based graph traversal algorithms. This substitution maintains user-friendly operation through simple queries while achieving high-speed risk identification through computational efficiency.
4Loss of information
If comprehensive risk pathways are visualized, then information completeness is improved, but the visual complexity and difficulty in understanding deteriorates
Solution Approach 1:
The system applies local quality by allowing users to focus on specific local portions of the risk graph through filtering and highlighting features. This presents complete information when needed while reducing visual complexity through selective display of relevant local areas.
Solution Approach 2:
The patent implements partial action by enabling users to retrieve and visualize only the specific risk pathways and connections relevant to their inquiry. This provides information completeness for targeted questions while avoiding the visual complexity of displaying all possible connections in the entire network.
Data Source
AI summary
A research, analysis, regulatory compliance and media platform that connects customers to finished research and analysis produced by subject matter experts is described. The platform facilitates research, investigations, and analysis by creating a single environment in which a group of distributed analysts conduct research and investigations, store and retrieve documents and other sources, collaborate, and publish findings. Consumers are able to query a published knowledge graph, surface high value relationships, and access insights captured by analyst through a customer web portal or external production environment. The platform allows analysts and customers to research and map the commercial, financial, and facilitation networks of sanctioned or other actors that may be associated with illicit activity. Customers can access visual graphs depicting relationships between sanctioned and non-sanctioned actors in order to evaluate their possible exposure to financial crime or sanctions-related risks.