ibm telematics for insurance
TRANSCRIPT
Data Velocity Insurance companies aren’t used to dealing with the real time consumption of data from millions of connected cars.
Challenges
Data Veracity Telematics data is uncertain — the signal can be noisy, and data can have missing values.
Challenges
By not efficiently using the data that’s being created, insurance companies are missing opportunities to provide new services, gain new revenue, and increase customer satisfaction.
Challenges
New
New services New revenue Higher customer satisfaction
Pay how you drive
Give rates and discounts based on actual driving scenarios rather than data about group behavior.
Value-added services
VS
Pay how you drive
Can select and retain the lowest risk drivers better aligning risk and price.
Value-added services
Geo fencing Alerting customers to road hazards by analyzing data from nearby vehicles.
Value-added services
Geo fencing Offering extended coverage if customers venture outside of covered area.
Value-added services
Do you wish to purchase additional coverage?
Do you wish to purchase additional coverage?
Automated first notice of loss Report incident, begin claims process and estimate severity.
Value-added services
Report incident
Start claim
Estimate severity
Automated first notice of loss Notify emergency services, towing service, rental car, or replacement vehicle for fleets.
Value-added services
Emergency services
Towing service
Replacement vehicle
Discover how the intersection of analytics and telematics can create new revenue for your business in the white paper.
Telematics for insurance
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