Managing Risk

Statistically, at least 1 in 4 accidents that occur involve people who are driving for work related purposes. Accidents do happen. Checks get missed. It’s vital that companies have the correct procedures in place to protect them should the worst happen.

Any organisation that requires or allows its employees to drive on its behalf should have a process in place for checking driving licence validity, entitlements and convictions without exception, and finding ways to minimise driver risk and improve safety should be a matter of priority.

Often what you see on a driving licence check isn’t always the full picture. Just because an employee has a ‘clean’ licence (ie, no penalty points), does that mean they pose less risk to a fleet? Not necessarily. That’s why DAVIS profiles drivers on many different factors, such as the number of penalty points and the type of endorsement.

Far from being a basic check, a DAVIS driving licence check will help to paint a picture of a driver and, most importantly, highlight potential areas of risk.

Where DAVIS really goes the extra mile though in helping organisations address and improve driver safety is by providing a meaningful RAG-based (Red Amber Green) Driver Risk Score.

DAVIS Driver Risk Score uses a complex algorithm taking many factors and data streams into account formulating these results into one real-time score, assigned to each driver. Data streams depend on the client but may include the addition of driver behaviour via telematics, driver attitude/aptitude via assessment results and incident/accident history – all with the intention of providing a clearer more accurate picture of driver risk. By having a single score per driver, Fleet & Transport Managers are able to quickly identify high-risk drivers for further attention and development. Individual Driver Risk scores are amalgamated to provide one overall real-time Fleet Risk Score helping to give Fleet & Transport Managers the ability to effectively measure and monitor driver risk as a KPI. And because we understand that “risk” can be altogether subjective, the scoring algorithm can be tailored to an organisation to better suit its own perception of risk.