Educational ResourcesA new white paper, “Nate Silver, Billy Beane, and Alex Trebek: Making the Case for Predictive Analytics in Workplace Safety,” has been released by Predictive Solutions Corporation, an Industrial Scientific company. It is a resource for those who want to learn how leading safety professionals are making the case to employ predictive models in their workplace safety program.

Making this case is much easier, the white paper states, now that advanced and predictive analytics are proven and pervasive in many industries, business functions, and even in popular culture. The paper reveals dramatic results realized by companies employing the practice within their safety functions, including reduced lost work day rates, reduced incident rates, and reduced costs.  

“Some companies have reduced their injury rates by more than 90 percent using advanced and predictive analytics,” said Griffin Schultz, general manager at Predictive Solutions. “Whether in pursuit of improved financial results, or the ability to ensure that every employee goes home safe every day, predictive analytics should be considered as part of a 21st century, world-class safety program.”  

Additionally, the white paper summarizes pioneering research conducted by teams from Predictive Solutions and Carnegie Mellon University in the development of powerful safety analytics and prediction models. This is the same CMU department that helped develop the “Watson” supercomputer that originally gained fame by beating the top Jeopardy game show champions, and is now being used to help doctors make better medical diagnoses.

The white paper concludes by explaining that advanced and predictive analytics do not replace safety professionals, but rather extend their knowledge, increase their analysis power, and help direct the use of their often scarce resources.

For a free download of the white paper, visit

About Predictive Solutions Corporation

Predictive Solutions Corporation, formerly DBO2, saves lives by predicting workplace injuries. Its software solutions help track, trend and analyze safety related data and incidents. They also employ proprietary models that predict the likelihood, frequency and location of workplace injuries using its customers’ safety observation data. In addition, Predictive Solutions delivers consulting services that drive culture and process change within organizations to create sustainable safety processes that reduce injuries. With more than 140 million observations and more than 40,000 reported incidents from more than 15,000 worksites around the world, Predictive Solutions has emerged as an industry leader in predicting injuries before they occur. Predictive Solutions, based in Pittsburgh, Pa., was founded in 2001 and became an Industrial Scientific company in 2008. Its employees, along with those of its parent company, are dedicating their careers to ending death on the job in this century. For more information, visit

About Industrial Scientific Corporation

Industrial Scientific Corporation is the world’s leading provider of Gas Detection as a Service. With more than 965 people working in 22 countries, Industrial Scientific is dedicated to eliminating death in the workplace by the end of this century. Achieving this goal requires dedication to delivering highest quality and best customer service in all transactions. Industrial Scientific also focuses on providing analysis of data from equipment use and maintenance to identify problems before they happen. Industrial Scientific has operations based in Pittsburgh (USA), Arras (France), Dortmund (Germany) and Shanghai (China). The company provides technical services to customers from local service centers around the world, and has additional offices in Australia, Belgium, Brazil, Canada, Chinese Taipei, Czech Republic, India, Indonesia, Italy, Netherlands, Panama, Poland, Qatar, Russia, Singapore, Thailand, United Arab Emirates and the United Kingdom. Industrial Scientific is the parent company to Oldham ( and Predictive Solutions Corporation ( For more information, visit