In the utility industry, field workers face potential safety risks such as falls, trips, flashes, etc. Every organization strives to make the workplace and the field as safe as possible for the employees and strategizes to improve safety. With the digital transformation of organizations, we now have access to data which can help revolutionize the safety culture at the workplace. The goal of this session is to demonstrate how a utility company can leverage data to pinpoint the factors related to safety.

This session discusses:

• How to use descriptive analytics and visualizations to frame hypotheses, and then applying statistical and machine learning tools to test the hypotheses
• Statistical concepts such as logistic regression and decision trees can help find correlation between injuries and contributing factors.