Predictive analytics brings us one step closer to the vision of sending every employee safe, every day. Safety inspection data fuel the predictive models in the workplace as they provide actionable insights. Predictions take a broader look at the cause of accidents and injuries, or the workplace as a whole.
In EHS and OHS circles, we often get purchase from within by talking about the work culture. The work culture which should engender safety, focus on workforce wellbeing and serve environment for longevity. A similar trait needs to be identified to address behavioural successes linked with digital domain.
In health and safety, a well-done competency map links employees to job duties, job duties to hazards and hazards to training to eliminate or mitigate those hazards. EHS roles and responsibilities, stitched within, strengthen the ability of an organization to address EHS risks and maintain quality and quantity of EHS resources.
Traditionally, the great unifier in for all of these concerns was efficient reporting and insight management undertaken from EHS data reported and aggregated. But in a world where manufacturing, production and services have become independent of time and geography – software automation has succeeded and even superseded them in some cases.