Safety in numbers: data analytics and smarter risk management

Queensland’s new industrial manslaughter laws highlight how today’s corporate leaders are being held personally accountable for workplace safety. So, how can you get on the ‘front foot’ to ensure the safest environment?

Coming off the back of several accidents, including the tragedy at popular theme park Dreamworld, Queensland’s new penalties apply to employers whose negligence has caused the deaths of their workers, visitors to a workplace, or passersby.

Under the laws, individuals guilty of industrial manslaughter will face 20 years imprisonment, with corporate offenders liable for fines of up to $10 million. They were designed to “send out a strong message to all employers that negligence causing death won’t be tolerated under any circumstances”, according to Minister Grace Grace.

The new laws have many implications for business leaders and organisations and we encourage you to read more about them here.

However, they also beg the question: in an increasingly high-pressure environment, how do you take workplace safety – and related risk management – to new levels? How can you start moving beyond outdated approaches to build a high-performing safety culture that sees a real reduction in workplace injuries?

Data science – and specifically, predictive analytics – is perhaps the most proactive step of all. It’s about confidently choosing the safest employees upfront and building your safety culture before your workers even walk through the door.

Done well, it screens job applicants for safety risk, rapidly shortlisting candidates who will naturally be safer in the workplace.

It can quickly and reliably predict individual safety behaviours, contribution to safety culture, and likelihood of workplace injuries. So employers can simply shortlist (and then hire) the safest people to start with – all based on sophisticated algorithms and tailored safety competencies.

At Effectus, our team have helped many clients to predict, manage and improve safety outcomes, including:

  • improving organisational LTIFR by 44% within 12 months
  • increasing near-miss reporting by 71%
  • increasing safety culture and workplace hazard reporting by over 600%
  • direct reduction in worker’s compensation claim costs by over $5,000,000 per annum.

As well as protecting people and saving lives, the data-driven approach can significantly boost productivity – while injecting peace of mind when corporations need it more than ever.

Want to help protect people, productivity and peace-of-mind? Talk to us about smart shortlisting for safety.

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