Telematic Insurance Quote System Using Segmented Data Processing
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Solution Overview
Problem
Current systems for determining insurance premiums are not capable of providing real-time analysis of human and building telematic data, leading to outdated and incomplete data-based quotes.
Innovation Solution
A system and method that utilize telematics data acquisition devices to collect and process both human health and building environmental data in real-time, using a communications interface and business logic processor to calculate an insurance premium quote based on this data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If real-time telematic data collection and processing is implemented, then accuracy and timeliness of insurance premium quotes is improved, but system complexity and cost increase
Solution Approach 1:
The system divides telematic data collection into separate modules: health telematic data collection device, building telematic data collection device, and communications interface. Each device collects specific types of data independently, which are then processed separately by the business logic processor to determine insurance premiums. This segmentation reduces overall system complexity while maintaining real-time processing capability.
Solution Approach 2:
The business logic processor acts as an intermediary between the telematic data collection devices and the insurance premium determination system. It receives health telematic data and building telematic data from respective devices, processes this data to assess risk levels, and generates insurance premium quotes. This intermediary layer simplifies the integration complexity between data collection and premium calculation.
2Loss of time
If real-time telematic data processing is implemented, then timeliness of insurance premium feedback is improved, but data processing requirements and computational load increase
Solution Approach 1:
The system performs preliminary data collection and processing by continuously monitoring health telematic data and building telematic data in real-time before insurance premium determination is needed. The business logic processor pre-processes this data to assess current risk levels, enabling rapid generation of insurance premium quotes when requested without requiring intensive computational analysis at the moment of quoting.
Solution Approach 2:
The telematic data collection devices automatically and continuously collect health and building telematic data without requiring manual intervention or intensive processing. The devices self-manage data acquisition, filtering, and preliminary processing, reducing the computational burden on the central business logic processor while maintaining real-time data availability for insurance premium determination.
Data Source
AI summary
Systems and methods are disclosed herein for pricing an insurance premium based on analysis of various telematic data. The system includes a user with a wearable human telematic sensor providing telematic data about the wearer. Also, the system and method includes at least one building/environment telematic sensor configured to provide telematic data about the building and surrounding environment. The various telematic data is communicated and processed to provide an insurance quote to the user based upon analysis of the telematic data.


