big data - Page 1

A new game plan for EHS intelligence

Transform how you assess & mitigate risks – and improve operations

March 9, 2018

Companies need to transform safety initiatives to enable data-driven insights. This intelligence provides a comprehensive look at all locations and employees to proactively monitor and act to prevent overall threats and risk.

EHS management on cusp of transformation

February 10, 2017

Environment, health and safety (EHS) programs are a cornerstone of business for any manufacturer as they seek to maintain compliance, mitigate environmental impacts, improve worker health and safety, and ultimately save lives. Best Practices on EHS management also show us that EHS also plays an enormous role in achieving overall Operational Excellence and end-to-end sustainability.

What EHS Managers need to know about digital transformation

Peter Bussey

February 10, 2017

As an Environment, Health, and Safety (EHS) manager or professional, you’re well-aware of the critical role EHS plays in Operational Excellence. There is no doubt that your company has one (or more) continuous improvement initiatives aimed towards operational efficiency and effectiveness; perhaps it’s based on a Lean approach or Six Sigma.

How to really use Big Data and 21st-century technology

Nick Bernini

January 1, 2017

We are constantly hearing words like “Big Data”, “Data Scientist” and “Predictive Analytics” – but what do they really mean?

How Europeans think digitalization will affect labor markets

Ten trends, including a "hallowing out" of the middle class

July 1, 2016

The Fourth Industrial Revolution is knocking on our door. It is going to radically change employment and the nature of work in the coming years. Our economies must prepare for a storm of unprecedented technical and socio-economic changes that will affect labour markets and will radically transform our relationship with work.

Don’t drown in Big Data

Use it to reduce injuries and save lives

Griffin Schultz

June 1, 2015

Safety Big Data sets can be used to predict workplace injuries with accuracy rates as high as 80-90 percent, according to a white paper based on research conducted in collaboration with a team from Carnegie Mellon University, one of the leading institutions in the field of Big Data analytics.