Utilizing Data Analytics to Improve Behavioral Safety Interventions

Friday • 11:00 AM - 12:00 PM • Location: Ryman Studio J

Matthew Laske
Graduate Researcher
Cambridge Center for Behavioral Studies and Appalachian State University

Maira Compagnone
Appalachian State University

This presentation aims to describe how data analytics can improve decision-making in safety interventions. A tutorial will be provided on how to begin conducting data analytics successfully in safety. Recent applications of data analysis in a large fortune 500 Chemical manufacturer will be showcased, including the use of production, overtime, weather, observation, and other data to predict safety outcomes.
By the end of this discussion, participants will understand the underlying system features that allow organizations to uncover actionable insights for their safety programs through data analysis.

Learning Outcomes:

  1. Participants will be able to identify ways in which they can prepare their organization for data analytics in safety.
  2. Participants will learn about additional data sources they can analyze to improve their safety decision making.
  3. Participants will learn key barriers to data analytics and how to overcome them.
Matthew Laske is a graduate researcher at Appalachian State University and a Distinguished Scholar from the Cambridge Center for Behavioral Studies. Matthew has improved behavioral safety programs in various industries including chemical manufacturing and distribution. Currently, he is a project manager for the safety analytics team at Appalachian State seeking to identify variables that are most predictive of adverse safety outcomes.