Under modern occupational risk management (ORM), the primary differences between risk assessment and risk measurement are:
With the increasing availability of big data and sophisticated software analytics, such as machine learning, modern risk assessments are automated and easy to use for people who have limited technical knowledge on risk management. The outcome of your risk assessment will become more accurate due to access to large-size samples. For example, a global corporate has developed a continuous risk assessment tool as an enhancement of its traditional risk assessment processes, through the inclusion of quantitative metrics, i.e. key risk indicators, to better assess the risk universe. ORM has moved away from traditional risk assessment towards risk-based strategic decision making.
Following on from our previous blog, we’ll be drilling down into current risk methodologies. But first, let’s snapshot the overall landscape of these approaches to managing and minimising risk in the workplace.
Our Market Researcher, Jiaqi Sun, has put together research to provide an overview of commonly-used risk assessment approaches and processes to manage hazard, operational and strategic risks. Over the next series of blogs, we will drill down into: