Bringing the science of prediction to safety
Unearthing the root causes and key contributing factors to predict and prevent incidents relies on clean data that can be modeled in real-time using intelligent models. The insights generated from these models can be used to provide direction on where to focus your efforts to have maximum impact – all without leaving Cority’s EHSQ platform.
Reduce the costs associated with workplace injuries and illnesses by using data models to help predict where the next event is most likely to happen, so you can take action to prevent it.
Utilize Cority’s Data Quality Score to automatically manage data and audit data hygiene, reducing the need to assign resources for on-going scrubbing of data and boosting confidence in data that is presented.
Provides baseline functionality for benchmarking performance against peer groups by region and industry to ensure lagging indicators and KPIs are met.
Use advanced predictive insights to identify data trends that serve as an “early warning sign” of future problems, allowing you to tackle these issues proactively and reduce potential loss.
Cority Analytics was designed in conjunction with a Client Advisory Committee of organizations committed to improving EHSQ program outcomes, including Tri-State Generation and Transmission Association, Whiting Petroleum, Southern Star Central Gas Pipeline, Westmoreland Coal Company, Shaw Industries Group, Inc., Toyota Engineering & Manufacturing America (TEMA), and Seattle City Light.