Everybody is familiar with the buzzword ‘digital transformation’ – for EHS, that means an all new power to generate, organize, analyze, and transfer large amounts of information that makes sense across the value chain.

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.

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production and services have become independent of time and geography – software automation has succeeded and even superseded them in some cases.

Improving EHS performance is emerging as a mission-critical mandate in industries as the focus on adapting EHS tools is increasing. Industries today find it imperative to move beyond the traditional EHS data reporting systems. As the recent technology trends have allowed us to collect high-quality data and perform advanced analysis.