STRUCTURING SCOPE 3
It shows that emissions are generated outside of one's own site. However, it does not yet say what data is behind this and where changes will really make a difference.
We structure your Scope 3 data so that it can be repeatedly collected, tracked, and used for decision-making.
Discuss Scope 3
YOUR ORDER
You do not want to gather Scope 3 data from scratch every year. You need a clear logic for categories, data points, assumptions and responsibilities.
We make Scope 3 traceable and repeatable – with a structure that won't start from scratch again next year.
Classify categories, data sources and assumptions together
Prioritise relevant data points and gaps
Define the process and responsibilities for the update
WHAT WE DO
01
Define relevant categories
We map upstream and downstream emissions and focus on the categories that are relevant to your footprint and decisions.
02
Structuring data points
We define which information is needed and where it is already available today: quantities, materials, transport, expenditure or supplier data.
03
Document calculation logic
We record data, factors and assumptions in a traceable manner. This ensures that the balance sheet remains understandable even when new people or systems are introduced.
04
Prioritise data quality
We clarify where better data actually increases the validity of the statements and where sound approximations are sufficient for the time being.
05
Prepare implementation
A clear, understandable plan emerges from goals and priorities: what is being started, what is being prepared, and when will the status be reviewed again?
HOW WE WORK
Clarify the initial situation
Classify the balance sheet, data sources and occasion.
Define categories
Define relevant Scope 3 topics and data points.
Structure data
Arrange logic, assumptions, and data quality in a comprehensible manner.
Further develop
Define process, responsibilities and priorities.
WHAT YOU GET
You will receive a transparent basis for repeatable Scope 3 assessments and targeted improvements.
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an overview of relevant Scope 3 categories
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a data point and data source matrix
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a documentation of logic and assumptions
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a classification of the data quality
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a prioritisation of key data gaps
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Recommendations for primary and supplier data
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an assignment of data responsibilities
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a process for update and further development
THE FOUNDATION
Relevance
It separates important categories and data points from those that do not yet require additional work.
Traceability
It makes assumptions, factors and data sources visible.
Repeatability
It prevents the data collection from starting from scratch again next year.
Practical relevance
It shows which questions purchasing, suppliers, and internal departments should answer next.
CLEARLY CATEGORISED
It creates the foundation for this. Only when categories, data points and levers are visible can it be decided where better data or targeted collaboration will really lead to progress.
natureOffice contributes carbon footprinting, product and data processes. DFGE complements this with Scope 3 methodology and complex requirement logic. Terra supports the implementation if this results in changes for suppliers or procurement.
First create structure. Then improve systematically.
FIRST CREATE STRUCTURE. THEN IMPROVE PURPOSEFULLY.
Together, we will look at your Scope 3 data, your processes, and the questions that will truly move you forward.
Let's talk