After analyzing one billion miles of driving data, LexisNexis (LN), a large worldwide data aggregator, has found that women are better drivers than men, as Neal Ungerleider writes for Fast Company. The research also shows that it is possible through data to know which drivers are most likely to speed, and that the main causes of car accidents are hard accelerating, braking, nighttime driving, and speeding, Ungerleider writes.
Ungerleider spoke with a LexisNexis executive about LN’s findings:
‘We looked at one billion miles of driving, and the claims that go with it,’ LexisNexis’s senior vice president of auto and home insurance Ash Hassib told Fast Company. ‘You could see speed events, time of day driving, and hard braking events. The goal of this is for companies to try to match claim history with driving data. If you drive like this, you’re twice as likely to file a claim.’
LN works with insurance companies and makes “hefty profits” from them, Ungerleider notes. LN and Wunelli, a company it acquired last year that helps insurance firms mine automobile data from dashboard devices and smartphones, work with insurers worldwide through a telematics integration process, Ungerleider writes. (Telematics, a mashup of the words “telecommunications and “informatics,” according to Fleetmatics.com, refers to the branch of information technology that deals with the long-distance transmission of computerized information via telecommunication devices.) It was in 2008 that LN began logging “mile-by-mile smart-car information” from automobiles, Ungerleider notes.
InsuranceNewsNet.com reports that the telematics data that LN and Wunelli have collected comes from “450 vehicle makes and models, five million GPS data points per day and collectively 125,000 earned car years.” What makes that data meaningful is LN’s ability to validate it, “clean” it, and score it, which leads to safer driving; it also helps insurance companies improve risk assessment and customer engagement and retention, InsuranceNewsNet.com writes. Among the benefits of the collection, analysis, and scoring of driving behavior since 2009 is that it has changed the way consumers think about their driving behavior patterns, InsuranceNewsNet.com writes.
Wunelli’s Penny Searles, M.D., told InsuranceNewsNet.com that its proprietary database of trip and claims data records includes such key elements as drivers’ familiarity with roads, their relative speeds, and how distracted they are. “This means we can deliver an accurate picture of driver behavior and deliver real insights to insurers to reduce their claims loss ratios by up to 30%,” Searles said. Wanly and LexisNexis are working in the United States as well as in the UK, said Ash Hassib, SVP and GM, Auto and Home Insurance, LexisNexis Risk Solutions, as InsuranceNewsNet.com writes.
Ungerleider offers the following advice to those drivers who do not want their driving data mined: “Use an old-fashioned map or written directions instead of a smartphone app for navigation, avoid telematics plug-ins, and drive an older used car with less digital integration.”