Enhanced Analytics and Communications Functionality in Predictive Solutions Latest Workplace Safety Software Release
Predictive Solutions Corporation announced today that version 9.0 of its SafetyNet software, used to predict and prevent workplace injuries, is now available to its customers.
“The enhancements in this upgrade are some of the most significant we’ve released in the last several years and are largely based on customer feedback,” said Griffin Schultz, Predictive Solutions’ general manager. “Each improvement helps users to better predict and prevent workplace injuries using data analytics, and then communicate those predictions across the organization so that injuries can be prevented.”
With this software release, which boasts an updated look and feel, users will have the ability to access SafetyNet via all the major Internet browsers including Chrome, Firefox, Internet Explorer and Safari. Other features of the release include:
- Enhanced safety analytics and reporting including trending and ad-hoc analytics
- More detailed prediction model feedback to ensure more focused preventive measures
- Functionality that supports complex, multi-level organizations for more targeted analysis and communication
“Our customers continue to prove through their results, that if we can predict workplace injuries, they can prevent them,” Schultz added. “We are excited to bring them this latest software release that is loaded with enhancements that will help them to keep their workers safer.”
To learn more about SafetyNet 9.0, visit www.predictivesolutions.com/learning-center/.
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 45,000 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 www.predictivesolutions.com.
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 (www.oldhamgas.com) and Predictive Solutions Corporation (www.predictivesolutions.com). For more information, visit www.indsci.com.
Media Contacts: Chris Lange Director of Marketing, Americas & EMEA, Industrial Scientific 1-800-DETECTS (788-4353) firstname.lastname@example.org Candace Adrian Marketing Communications Specialist, Industrial Scientific 1-800-DETECTS (788-4353) email@example.com