The ESG data problem
ESG reporting is mandatory for a growing number of companies, yet most collect the data manually. Sustainability teams spend months chasing departments for energy bills, waste records, water consumption, and emission estimates. The result: ESG reports based on estimates and assumptions, published 6-12 months after the reporting period. By then, the data is stale and the opportunity to improve has passed.
Automated data collection
- Energy — real-time consumption from IoT smart meters by facility, line, and equipment
- Emissions — Scope 1 calculated from fuel consumption, Scope 2 from grid energy, Scope 3 from supply chain data
- Water — consumption and discharge volumes from flow meters
- Waste — generation, recycling, and disposal tracked by category and destination
- Social — diversity metrics, safety incidents, training hours pulled from HRMS automatically
From compliance to competitive advantage
When ESG data flows in real time, sustainability becomes an operational capability, not a reporting exercise. You can set reduction targets, track progress monthly, and make decisions based on actual environmental impact. Companies that treat ESG as operations rather than compliance gain investor confidence and customer trust.
ESG reporting should be a byproduct of good operations, not a separate data collection project.