Best Practices For EHS Analytics

Executive Summary

This report provides EHS decision-makers with advice on how to succeed with a digital analytics project. The EHS community has utilized data management and analytics techniques for decades. In the last five years the rise of Internet of Things data collection, the impact of generational changes on the use of digital technology, and the arrival of more robust EHS analytics offerings has pushed the idea of digital analytics up the agenda. Despite the promise of digital analytics, most EHS decision-makers have barely moved off the starting grid due to dirty data, a lack of expertise and resistance to new ways of making decisions. To improve the success of EHS digital analytics efforts, firms need to adopt a project management approach which integrates learnings from other data science projects. By doing so they can benefit from predictive analytics models, intra-day analysis of environmental compliance data, new insights from collaborative safe operations analysis, IoT sensor networks, geo-spatial enhancements to existing data and improved leading indicators.