* U.S. Bureau of Labor Statistics and the National Safety Council
Safety Analytics uses machine learning to develop predictive and prescriptive analytics to identify behaviors, patterns, anomalies, and root causes underlying dangerous situations: identify high-risk individuals and situations to avoid incidents and lower safety-related costs; respond more effectively when accidents do occur.
Safety Analytics correlates safety incident data with safety programs to help you measure program effectiveness and identify safety trends. It advises how to reduce the most risk for a given budget. You can avoid wasting time and money on ineffectual projects, and improve your safety planning and reporting.
Avoid the fines, penalties, legal costs, and reputation damage that flow from noncompliance. Safety Analytics flags where, when, and how your company is out of compliance and creates visibility for these issues within your organization.
Safety Analytics improves safety performance for diverse industries: