Predictive analytics employs multiple statistical techniques including machine learning, predictive modeling, and data mining to analyze data to make predictions about future events. Cority’s Analytics suite harnesses the power of employee records and many more related data points, securely managed by Cority on behalf of its industry leading customers.
Currently the Analytics suite focuses on Safety data, to help safety professionals to ensure workers stay safe, programs continue to improve, and regulatory requirements are met. Cority calculates a Safety Culture Score that allows Safety managers to track and analyze the variables that contribute to their organization’s safety culture.
This chapter explains how to:
compare your organization’s metrics against industry metrics (see Comparing Data Against BLS Benchmarks)
evalulate the completeness and accuracy of your safety data to support predictive models (see Monitoring Data Quality)
create hypothetical scenarios for predicting an employee’s risk of injury over the next 12 months (see Predicting Risk of Injury for an Employee)
To see the look-up tables used by this module, see Module Reference. There may also be system settings that affect your use of this module; for more information, see Changing Your System Settings.