Date: Tuesday, October 15, 2019
Time: 8:00 a.m. - 12:00 p.m.
“When catastrophe strikes, we look for a signal in the noise - anything that might explain the chaos that we see all around us and bring order to the world again.”
― Nate Silver, “The Signal and the Noise: Why So Many Predictions Fail - But Some Don't”
Lately, it seems, you cannot open a business journal without seeing the phrases big data, business intelligence and predictive analytics. The latest corporate buzzword is “Big Data.” With over 700 million hits on a Google web-search, many people, groups, organizations and even countries are discussing how to make use of all this “big data” that lays before them. A more important question, however, might be “how do we use this data to make a difference in peoples’ lives?” Big data is often solely associated with managing large amounts of diverse data. But more accurately, big data is about asking new types questions, exploring hunches, and making data-driven decisions. Business intelligence and analytics will be a part of everyone’s jobs, if it is not already. And, there is no better area in organizations that could benefit more from using big data and business intelligence, than our safety departments. The safety field collects a plethora of safety intelligence from training records to behavioral observations. Unfortunately, this critical safety intelligence is often not used, miss-used, or just plain ignored.
This workshop is going to create some data! We will begin by defining leading indicators, outline a process for creating organization specific leading indicators and then have groups identify which types of data are key indicators of a strong safety culture (i.e., “cultural proxies”). We will also explore the different levels of analyzing your data and how organizations can use simple predictive analytics to help assess how well a new BBS process, for example, is being rolled-out. We will also discuss the role of data in looking at the quality of our observational data and how to use this as a coaching tool for individuals, teams and processes. Finally, the class will learn key concepts on how to sustain initiatives though the use of data and other key indicators of an evolving safety culture.
Chuck Pettinger, Ph.D.
Chuck has over 20 years’ experience designing, implementing and evaluating culture step-change initiatives. His major interests include developing large-scale corporate behavior change processes, assessing industrial safety cultures, using advanced predictive analytics to develop leading indicators and conducting organizational Leadership Workshops.
Chuck earned his Bachelors from the University of Florida, his Masters from Rensselaer Polytechnic Institute, and his Doctorate from Virginia Tech under Dr. E. Scott Geller. Before joining Predictive Solutions, Chuck was a Senior Project Manager with the Safety Performance Solutions and a Grant Project Manager with Virginia Tech’s CABS, a research and development organization led by Dr. E. Scott Geller
Dan holds degrees from Carnegie Mellon University in Industrial Management and Economics. Since starting in Safety and Technology in 1988, he has seen many changes in the way organizations and cultures value workers’ safety on the job. One of the most profound changes is the adaptation of the science of Predictive Analytics for helping us prevent injuries. Dan speaks to over 100 companies each year about how they can use behavior based safety in conjunction with technology to help them improve their safety cultures and to build a foundation for continuous process improvement.