The programme was designed to answer a practical question: how can companies turn green transition goals into actions they can manage and measure?
Rather than focusing only on theory, participants worked on six connected outputs:
- a value chain risk map;
- a compliance checklist;
- a Do No Significant Harm (DNSH) risk matrix;
- a Life Cycle Assessment (LCA) and Material Flow Analysis (MFA) data map;
- carbon data interpretation;
- a measurable 90-day green transition action plan.
Together, these outputs formed the basis of a company’s first structured green transition file. Through the exercises, participants identified where environmental pressures were concentrated within their activities. They also assessed which information was already available and where important gaps remained.
As a result, sustainability became more than a general ambition. Participants could connect environmental performance with data management, compliance requirements and business decisions.
What did participants learn?
One of the main lessons was clear: green transition is not a one-time project. Instead, companies need to manage it as a continuous process based on measurable and verifiable data.
During the training, participants identified several recurring environmental pressure points. These included energy and carbon, waste and scrap, water and wastewater, chemical use and supplier data. However, recognising a risk is only the first step. Companies also need to know who is responsible for the relevant data, how that data is measured, how often it is updated and which evidence can support it.
The exercises showed that participants could generally identify their most important environmental risks. At the same time, they highlighted gaps in data visibility, supplier verification, data ownership and the definition of Key Performance Indicators (KPIs). Another important lesson concerned data quality. Participants learned to question and interpret environmental information rather than simply calculate indicators.
Reliable decisions require companies to understand where data comes from, which units are used, which period it covers and which activities or processes are included.