Exposure Concentration Analyzer for Insurance Liability
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Solution Overview
Problem
Current systems for assessing potential liabilities from catastrophic events, such as earthquakes and hurricanes, generate large amounts of data that are difficult to process and analyze effectively, particularly in identifying concentrations of exposure for insurance companies.
Innovation Solution
A system comprising a database, input/output device, and modules like a database manager, accumulation analysis module, and parameter builder, which processes exposure data to determine concentrations of financial liability across geographical locations, policies, accounts, and portfolios, using exhaustive search and analytical approaches to identify high exposure areas.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If models generate large amounts of exposure data to comprehensively assess potential liabilities, then the completeness of liability assessment is improved, but the difficulty of processing and analyzing the data increases
Solution Approach 1:
The patent segments the large amount of exposure data into discrete geographic locations and further divides the analysis into systematic grid-based areas. Each location's exposure data is processed independently and then aggregated, transforming an overwhelming bulk data problem into manageable discrete units that can be analyzed systematically
Solution Approach 2:
The patent introduces a geographic spatial dimension to organize and analyze exposure data. By mapping exposure locations to geographic coordinates and using grid-based areas, the system adds a spatial organizational layer that enables efficient processing and visualization of large datasets through geographic information systems
2Quantity of substance
If models generate large amounts of exposure data to comprehensively assess potential liabilities, then the completeness of liability assessment is improved, but the time required to process and analyze the data increases
Solution Approach 1:
The patent performs preliminary actions by pre-processing exposure data into standardized formats, pre-defining geographic grid areas, and pre-organizing data structures before the actual concentration analysis. This preliminary organization enables faster processing during the actual analysis phase
Solution Approach 2:
The patent segments the analysis process into distinct phases: data retrieval, geographic mapping, concentration calculation, and result generation. This segmentation allows for optimized processing in each phase and enables parallel processing of different geographic areas, reducing overall analysis time
3Measurement precision
If the system analyzes detailed concentration data for each location to identify high exposure areas, then the precision of exposure identification is improved, but the complexity of data organization and processing increases
Solution Approach 1:
The patent adds a geographic spatial dimension to organize detailed exposure data. By using geographic coordinates and grid-based areas, the system creates a spatial framework that naturally organizes detailed location data, enabling precise identification of high concentration areas without overwhelming complexity
Solution Approach 2:
The patent introduces geographic locations and grid-based areas as intermediary structures between raw exposure data and final concentration analysis. These intermediaries provide a structured framework that simplifies the organization of detailed data while maintaining precision in identifying high exposure concentrations
Data Source
AI summary
A system and method are provided for identifying exposure concentrations. The process of determining exposure concentrations may include organizing exposure data, defining parameters, determining elevated exposure concentrations, and providing output results. The exposure data may relate to at least geographical locations, policies, accounts, portfolios, treaties, and other exposure data. The parameters may be defined to include at least an area of analysis, a region of interest, a threshold amount, results parameters, and other parameters. The exposure concentration may include at least defining and locating exposure locations using various techniques. The results may be presented using textual, graphical, or other display schemes. The output may be configured to convey information such as positional accuracy of an identified area, exposure accumulation in a defined area, and other information.