Question: . introduce Proactive Safety Measures Based on Predictive Analytics. SeAH Steel Holdings should leverage data analytics and predictive modeling techniques to proactively identify and mitigate

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introduce Proactive Safety Measures Based on Predictive Analytics.

SeAH Steel Holdings should leverage data analytics and predictive modeling techniques to proactively identify and mitigate potential safety risks. Rather than solely relying on reactive measures based on past incidents, they could use predictive analytics to anticipate and prevent accidents before they occur. For example, they could analyze historical safety data, such as near misses and safety inspection findings, to identify patterns and trends that indicate potential risks. Additionally, they could utilize advanced predictive modeling tools to forecast safety outcomes and prioritize interventions accordingly. By adopting proactive safety measures based on predictive analytics, SeAH Steel Holdings can stay ahead of emerging safety risks and enhance overall safety performance across their global operations.

By implementing these recommendations, SeAH Steel Holdings can strengthen their health and safety management review process, improve safety outcomes, and foster a culture of continuous improvement in workplace safety.

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