Telematics and Predictive Risk Analysis
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Jul 22, 2009 08:56AM
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Telematics and Predictive Risk Analysis
by Alva H. Wright and Jeffrey D. King on Jul. 21, 2009, a Telematics Weekly exclusive
By definition, insurance is a risk averse industry. They spend significant resources harvesting data, fine-tuning algorithms and adjusting statistical methodologies to limit their risk as they establish premiums. The more data they have to work with the more accurate the predictive risk analysis.
Last month, Liberty Mutual?—?in partnership with GE?—?released OnBoard Advisor, an aftermarket telematics service. The OnBoard Advisor records fuel consumption, engine run time, miles driven, speed, location and driving behavior. This offering will provide invaluable and previously unattainable data for improved risk assessment.
However, telematics is outside the core competency of the insurance industry. The irony is unavoidable: to offset risk, the insurance company must take on risk. But Liberty Mutual has found a way to lessen their uncertainty with a suitable partner.
GE, WebTech Wireless, Qualcomm and Trimble all have the experience, resources and infrastructure to absorb the additional liabilities of such an enterprise. According to Mike Slattery, Architect of OnBoard Advisor, Liberty Mutual selected GE based on the ability to provide the hardware, integration, warranty, servicing, sales assistance and carrier relations at the price points previously established. In turn, GE gains long-term contracts from each customer, and the unique opportunity to establish themselves as the leader in aftermarket fleet tracking products and services.
However in the consumer aftermarket, telematics’ success has been elusive?—?as testified by the 10 years of stagnation experienced by Progressive Insurance’s Pay As You Drive product. As exemplified by Progressive, consumer offerings require insureds to be responsible for their own device installation in the hope of lowered premiums. But the metrics acquired could also increase the insureds rates. As such, it is difficult to convince insurance customers that the potential benefits justify the time and expense related to installing the device. Insurance companies have yet to devise an economic model to remove this burden from adopting customers.
For this reason, OEM telematics solutions hold the most promise in the consumer market. Without consumer installation inconvenience, insurance companies could access a trove of behavioral data to dramatically improve their predictive risk analysis.
The potential availability of OnStar has peaked interest from forward thinking insurance companies (such as AllState Insurance). OnStar is said to generate revenue in excess of $1 billion annually. It has an established infrastructure and subscriber base. Given General Motor’s recent financial difficulty and OnStar’s position outside of their core business, GM has given real consideration to liquidating this asset. As GM emerges from bankruptcy, the future of OnStar remains uncertain.
Understanding the tremendous value in data to insurance companies, the real value of OnStar appears not to be as a telematics provider but as an information aggregator. With over 5 million subscribers, OnStar can provide valuable information on driving trends. If GM does not see this value in OnStar, which company will take on the risk and demonstrate the vision to realize OnStar’s potential?
Source: http://telematicsweekly.com/archives/telematics-and-predictive-risk-analysis-1606