How to generate long-term value creation through operationalisation of sustainability data

Summary

A lack of effective and automated tools is holding firms back from properly collecting and sharing data. Sustainability data should be of high quality, auditable, transparent, comparable, screened for errors and data gaps. Firms should strongly consider optimizing their data to generate actionable insights through the use of automated, cloud-based sustainability data management systems. Viewing sustainability performance data as an efficiency metric and determinant of cost saving is key. But KPIs, energy, waste, water, and sustainability metrics are of little to no consequence unless someone takes responsibility for turning the insight into an action.

It is necessary to revisiting the roles for sustainability currently defined within an organization. When a sustainable strategy is not integrated transparently into performance management, such as emissions targets the CEO communicates, how does the company get there?