Reporting requirements and initiatives such as CSRD, CBAM, SBTi and EcoVadis require consistent, audit-ready figures year after year. A one-off measurement is therefore not enough. At the same time, carbon data is often spread across ERP systems, invoicing platforms, energy management systems and separate Excel files. This can lead to inconsistencies, repeated work and loss of knowledge.

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Collecting Scope 3 data is also labour-intensive and difficult to scale without the right processes, tools and integrations. A structured data landscape turns carbon reporting into a continuous, manageable process, rather than an annual rush.

We work in six steps:

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1. Mapping your data systems - For each GHG scope, category and entity, we map the data sources being used, who owns the data and how much time is spent collecting. We then prioritise the key areas based on their contribution to your footprint and the time required, and define concrete next steps.
2. Data quality - We document the methodology used, carry out data checks and validate the underlying data. This means you know not only where your figures come from, but also how reliable they are.
3. Roadmap - We translate the analysis into a clear, actionable roadmap. Where relevant, we explore opportunities to connect data systems and calculation tools via APIs, reducing the need for manual data transfers.
4. Automation - We automate carbon data collection and calculations wherever this can be done efficiently and reliably. Through targeted test cases, we identify the processes with the greatest potential for automation.
5. Dashboards and reporting tools - We set up dashboards and reporting tools that allow you to monitor carbon data and climate targets on an ongoing basis. This helps you move from an annual exercise to continuous monitoring.
6. AI applications - We use AI where it can genuinely add value, for example by automating recurring tasks and templates, speeding up emissions factor mapping based on procurement or P&L data, and performing routine data checks. AI can also help automate parts of your reporting and make year-on-year comparisons more efficient. Throughout the process, we work closely with the project team through workshops and regular consultation.

Effective carbon data management provides the foundation for several elements of your climate strategy:

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• Carbon footprint (CCF)Carbon footprint (CCF): use reliable data to calculate a robust, audit-ready carbon footprint.
• CO₂ target setting and SBTiCO₂ target setting and SBTi: track your SBTi targets annually using consistent and reliable data.
• Decarbonisation roadmapDecarbonisation roadmap: use dashboards and automated data flows to monitor progress on your CO₂ reduction measures.
• Supplier engagementSupplier engagement: improve data exchange with suppliers and collect the Scope 3 data you need more efficiently.
• Sustainability reporting and CSRDSustainability reporting and CSRD: use consistent, audit-ready data as the foundation for your sustainability reporting.