While businesses have long used traditional KPIs (key performance indicators) to assess their safety measures, those metrics—such as incident rate and lost workdays—are lagging indicators that only track problems after they have occurred.

And while this information is helpful in regulatory reporting, it does not provide a clear picture of the issues that generate workplace mishaps or allow intervention to stop the incident from happening in the first place. To do that, organizations must integrate the right predictive analytics software that proactively identifies worksite locations and situations that expose workers to the most risk.

This eBook discusses five reasons why predictive solutions are critical for preventing incidents and sending more workers home safely, including:

• Comprehensive Data Collection
• Seamless Data Integration
• Accurate Data Analysis
• Effective Risk Mitigation Strategies
• Worker Tracking

Key Takeaways:

Safety-related data is critical for reducing future risk on job sites, and predictive analytics software enables companies to forecast incidents and make better safety decisions on that data.

Read this eBook to explore the critical reasons that contribute to more informed decision-making of safety teams that use predictive analytics software, resulting in safer workplaces, enhanced stakeholder trust, and reducingcosts.