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Using driver data to predict turnover

Published Thursday, December 21, 2006

The way Dean Croke sees it, if driver data can be plugged into a software-driven model to rank those most at risk of having an accident, the same can be done to rank those with the highest risk of leaving their jobs. That would help to lower the trucking industry’s driver turnover rate, which topped 110% in 2006. Croke, chief product architect at FleetRisk Advisors, plans to use two-years worth of historical electronic data extracted from multiple sources within a trucking fleet—over 300 data points including everything from the marital status, number of cash advances per month, even ...

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