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Can We Use Data to Improve Safety Performance?

Historically, we have only analysed lag indicators to determine safety performance. In doing so, using a root cause analysis methodology, human factors are identified as the main cause of workplace incidents, injuries and fatalities. These days, safety professionals have more data than ever before including predictive, leading and sensor data and they recognise that it's not only the human factor that creates risk.

Machine learning and AI technologies are collecting so much data it's hard to see the wood from the trees. Interpreting this data is now a job for a team of specialists to monitor, measure, prioritise and understand where their safety programs will have the most impact. They need tools to leverage the data to accurately identify root causes, examine trends and determine which proactive measures are best to drive safety performance.

This article provides suggestions on how safety professionals can use data to improve safety performance.

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