Our proficiency in aggregating data from multiple sources, coupled with our data normalization expertise, gives The Driven Data Network the unique ability to layer data sets for the purpose of analyzing and scoring the impact of multiple variables on driving risk.
There are many factors contributing to driving risk: the capabilities of both the vehicle and the driver, the context or environment in which the vehicle is driven and the choices that both the business operator and individual driver make in the assignment and operation of the vehicle.
The results of the analysis are depicted in the FAIR Score®, a driven risk index that takes into account multiple variables from telematics, vehicle characteristics, and the driving context. The DDN’s large data sets allow for fine-tuning the weights of the variables, and provides comparative inter- and intra-fleet rankings.
Petabytes of data go into this analysis, resulting in a score that is highly predictive of risk. The higher the score, the safer the vehicle is being operated, and the less likely it is that the vehicle will be involved in a collision. How predictive is the FAIR Score? Commercial auto insurance carrier studies have determined that a FAIR Score above 755 reduces claims severity by 25% and fleets with scores below 660 have up to 200% greater loss costs to the insurer.