Your CO₂ footprint is more than a reporting document. Whether you are measuring for the first time or improving your existing footprint, Pantarein maps your complete emissions profile, as an analytical instrument for strategy, governance and action.

Data management,

‍ESG-architecture and KPI-based management

Setting up ESG data management, data architecture and KPI-based management
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A strong sustainability strategy and reliable reporting stand or fall by the quality of your data. Pantarein designs your ESG data flow and KPI framework so that you can not only report your data efficiently, but also use them to support decisions. Wherever possible, we build on the systems you already have, such as your ERP, energy monitoring and HR software.

Why is ESG data architecture crucial?

Many organisations collect ESG data on an ad hoc basis: scattered across departments, in separate spreadsheets and with no clear ownership. At the same time, demand for ESG figures is growing from several directions.

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The first is reporting, whether mandatory or voluntary. Since the Omnibus revision, the scope of the CSRD has narrowed and the Voluntary Standard (VS) has become the de facto standard. The PPWR, the EUDR, the Digital Product Passport and the EU Taxonomy each require specific data points too – from recycled content per package to geolocation data per plot. These data often come from the same sources.

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In addition, banks, customers, investors and public contracting authorities are increasingly asking for these figures, for example through EcoVadis, their own questionnaires or tenders.

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Whether for reporting or for requests like these, your data need to be traceable, validated and reproducible. A single, well-designed data architecture can support all of these information needs.

Who is this relevant for?

  • Organisations that want to professionalise or automate their ESG data collection
  • Companies preparing for reporting and assurance
  • Companies with ESG targets or reporting obligations (SBTi, CSRD, VS, PPWR, etc.) that have not yet been integrated into day-to-day management
  • Companies weighing up spreadsheets against specialised ESG software
  • Retail companies with multiple sites or entities, for which consolidation is a challenge in its own right

Our approach

We work in four steps:

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  1. Data inventory and gap analysis – Which data already exist? Where are they stored? What is missing? And what is needed for complete, assurance-ready reporting?
  2. ESG data flow design – Who collects which data? How are they validated and where are they stored? We develop well-defined processes with clear ownership.
  3. Tooling: using what is already there – Consumption, purchasing, transport, waste and workforce data usually already sit in your ERP, energy monitoring or HR system. We unlock these sources and build a reporting layer on top.
  4. KPI selection and monitoring – We select and define the indicators you need and link them to your existing management cycle.

What does it deliver?

  • A reliable foundation: for CSRD or voluntary reporting and external assurance
  • A more efficient reporting cycle: less manual work and fewer errors
  • An audit-proof data trail: traceability from source to report
  • Sustainability you can steer: KPIs that are actually monitored in the management cycle, with early visibility of deviations
  • Scalable systems: systems that grow with your obligations and ambitions

Next steps

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A solid ESG data architecture is a strategic investment. We help you lay that foundation correctly and make it future-proof.

Take

 

the next step

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Leave your email address and we will get in touch to schedule a no-obligation consultation with an expert.