AM‐12‐14 Predictive Analytics in Safety and Operational Risk Management

Description:

Operational safety is a multi-faceted risk management challenge, with direct performance impacts on a company’s regulatory compliance, internal policy management, brand, reputation and finances. By combining advanced information management techniques across multiple enterprise data sources with robust analytics, organizations are able to establish predictive management programs that help establish the conditions and processes that optimize both the safety of their workers and the surrounding communities in which they operate. In this paper, the authors review strategies for improving safety and operating performance through the application of predictive analytics and knowledge management across the wealth of health, safety, security, environment, asset, maintenance and operational data that companies maintain and manage today.