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Analytics firm launches new workplace driver risk, aptitude and knowledge platform

Analytics firm launches new workplace driver risk, aptitude and knowledge platform

Predictive analytics firm Cognisess has launched Cognisess Drive - a cloud-based assessment platform designed to improve driver performance on and off the road.   
The Cognisess Drive platform combines cognitive science, data, artificial intelligence and machine learning to assess the range of faculties required for work-placed driving to ensure employers are hiring, monitoring and supporting the safest of driver.  

Chris Butt, CEO of Bath-based Cognisess, said: “Cognisess already has a solution available for the here and now which is easily applied and is affordable for any size of firm. Regardless of whatever technology solutions or regulations may emerge in the future, the fact is that the human factor is always going to be at the forefront when it comes to driving, operating or monitoring work-related vehicles.  

“The key is to gain a better understanding of the human attributes, abilities and performance of anyone we put near the wheel of a vehicle for our businesses.”  

Cognisess Drive focus on two sciences: cognition - how the brain performs and functions - and data - how the real time analysis of thousands of data points helps us predict a driver’s approach to risk and decision making.  

Case studies conducted by Cognisess in Australia demonstrate that the Cognisess Drive approach produces sustainable improvements in driver-behaviour and that many fleets can expect a 12-22% decrease in their total cash cost of operation - as well as other unseen costs such as downtime, replacement vehicles, insurance claims, losses of productivity and of course potential exposure to corporate manslaughter charges.  

Cognisess’ chief scientific officer Dr Boris Altemeyer said: “Through our extensive work with fleet operators and the studies we’ve undertaken with elite performance drivers, we gained insight into not only what truly ‘good driving’ looks like but we’ve also been able to calibrate the many different factors that make-up a ‘good driver mindset’. 

“What we evidenced showed that there is more to safe or ‘good’ driving than just fast reaction times but it no way this suggests being inefficient or slow is the answer. Instead it was mapping the connections between a driver’s brain where decision-making meets risk-taking that the most interesting insights were found. And particularly when it came to dealing with the unexpected - rather than the routine background tasks we normally associate with driving.  

“This gave us a fresh perspective from which we could build our driver tests to give us an objective and repeatable assessment of an individual’s personality type, cognitive preference, and driving knowledge whether they were either a very experienced or relatively inexperienced driver.”  

Cognisess Drive is claimed to be the most comprehensive assessment of driver competencies in the market covering cognition, risk, behaviour, wellbeing, attributes and driver knowledge within any work-related driver performance.  

The company says that it can be used extensively as an essential tool for assessing driver potential at the recruitment stage. The platform is also designed to use the recruitment baselines to maintain and sustain optimum driving performance throughout the lifespan of the contract or term of employment via performance dashboards which provide operators with predicative analytics and real-time reporting.  

Mr Butt added: “We recognise that the fleet, haulage and logistics sectors are facing huge pressure from the public and regulators to have greater clarity and confidence in their work-related driving practices. 

“But we can also see that the industry as a whole is equally under pressure with an aging population of drivers. This means that firms have to get better at assessing fitness and competency amongst their current driver pools whilst also getter better at assessing and recruiting younger talent coming from very varied and diverse backgrounds.  

“In each case, everyone needs to have data-based evidence that the people that we are putting behind the wheel are - whatever stage of their working patterns and cycles - capable, risk-assessed and fit and well enough to be there.”