Providing Vehicle Data for Insurance Risk Management
Easily Select, Configure Requests, and Calculate Costs. Enabling Data Monetization using VSS.
/ Product Demo
Efficient Vehicle Data Provision: A Streamlined Process
/ Summary
WHO: A provider of vehicle data
WHAT: Streamlined process for providing vehicle data to external data consumers such as insurers.
HOW: Data consumers can easily request specific vehicle data parameters from OEMs or data brokers through a user-friendly interface.
VALUE: Simplified time-saving data monetization process, enhanced revenue generation, and strengthened partnerships between data providers and consumers such as insurance companies.
/ Challenge
Unleashing Vehicle Data's Untapped Potential
Modern vehicles, especially EVs, are equipped with a variety of sensors and telematics systems that can capture detailed insights into vehicle performance, usage behavior, and environmental conditions. Utilizing this data in a way that generates meaningful revenue is a significant hurdle. Without monetizing data, automakers are missing out on untapped potential and opportunities for revenue growth.
Data users, like car insurers, possess a significant stake in dependable vehicle data. The insurance of electric vehicles in particular is uncharted territory. Reliable vehicle data, e.g., on the condition of the battery or charging cycles and much more, is imperative for effective, reliable risk management and the computation of accurate insurance premiums.
/ Objectives
Driving Revenue: Accelerating Automotive Data Monetization
/ Solution
Tailoring Vehicle Insights: Easily Create Data Requests
/ Process Flow
Efficiency Unleashed: Interactive Data Selection Made Easy
As an insurer, our success hinges on effective risk management. With comprehensive vehicle data provided by automotive partners, we stabilize risk assessment and financial stability. But when making requests we typically deal with an overwhelming amount of inaccurate data, leading to significant time wastage. The aicas’ tool allows to achieve our objectives much more swiftly, enabling efficient selection of relevant data for our risk management needs right from the start.
Insurance Prospect after watching the Demo
As an insurer, our success hinges on effective risk management. With comprehensive vehicle data provided by automotive partners, we stabilize risk assessment and financial stability. But when making requests we typically deal with an overwhelming amount of inaccurate data, leading to significant time wastage. The aicas’ tool allows to achieve our objectives much more swiftly, enabling efficient selection of relevant data for our risk management needs right from the start.
Insurance Prospect after watching the Demo
/ Process Benefits
Provide Vehicle Data with VSS: Streamlined and Easy
Standardizing
Vehicle Information
- Standardizing Data via VSS
- Data Agent as in-vehicle Software
Formalizing
the Data Process
- Defined Data Acquisition Process
- End-to-End Data Flow
Accesible
for any Job Role
- Intuitive GUI
- Guided Job-related Journeys
/ Solution Components
Harmonious Fusion: Seamlessly Integrating aicas EdgeSuite Components
/ Product Demo Example
Streamlined Campaign Configuration for EV Data
- Fuel System: Range
- Fuel System: Temperature
- Electric Motor: Temperature
- Transmission: Speed
- Brakes: Brake Pedal Pressure
- Engine: Throttle Position
- Current Location: Latitude
- Current Location: Longitude
- Raindetection: Intensity
- Chassis: OutsideTemperature
- Chassis: OutsideHumidity
The selected data is transmitted to the cloud. The minimum sampling interval determines how frequently aicas’ implementation of AWS IoT FleetWise should query the data source. The demo applies the following data collection settings to each signal: Max Sample Count: 100, Minimal Collection Interval: 100 ms, Campaign Collection Interval: 10,000 ms. The settings control that the agent queries the data source every 100 ms for each signal, i.e., 100 times within 10,000 ms. This means that the system collects 100 data points of each signal every 10,000 ms or every 10 s.
Following the selection of the target fleet, the cost estimation for data collection is initiated. Here, the data consumer – the insurer – can compare the anticipated value of the data with the estimated cost before finalizing the campaign creation. Adjustments to the campaign can be made, such as cost reduction measures, before the data request is submitted. This avoids the need to launch a campaign to assess its financial viability.
/ Benefits
Transforming Data Into Value: Driving Efficiency for OEMs and Insurers
- Increased efficiency in providing vehicle data to external or internal data consumers through a streamlined process.
- Easy to use for non-technical data consumers or sales teams.
- Simplified data monetization to maximize revenue.
- Strengthened competitiveness by empowering OEMs to capitalize on their vehicle data assets.
- Accelerated sales cycles enabled by quick selection and visualization of vehicle data.
- Empowerment to sell fleet data during testing phases.
- Enhanced partnerships with data consumers.
- Improved risk management for insurers based on reliable data.