ESG Data Guide 2024

Iceberg Data Lab - CBF – Corporate Biodiversity Footprint

Data category

Environmental data

The data offers solutions for:

  • Environmental impact analysis and insight
  • Investment decisions and portfolio insight
  • Nature-based information
  • Nature-based information: Biodiversity
  • Nature-based information: Land use
  • Nature-based information: Water
  • Reporting: Impact
  • Reporting: TNFD
  • Art 29

Who are the data users?

  • Corporates
  • Financial institutions
  • Investors

Brief description of the data offering

The Corporate Biodiversity Footprint is a set of data modelling the biodiversity impact of issuers. It allows financial institutions (banks, asset managers, asset owners, etc.) to calculate the biodiversity footprint of their portfolios and to integrate these data into their decision-making processes. IDL models the impact of corporates (or sovereigns and real assets) through a bottom-up approach, distinguishing issuers based on the impact of their product flows throughout the value chain (including Scope 3 upstream and downstream).

The CBF is expressed using Mean Species Abundance (MSA), a biodiversity metric measuring the impact of economic activities and related pressures on species abundance in an ecosystem compared to its pristine state (equivalent artificialisation). 

The MSA Is endorsed by the international scientific community and used in academic studies measuring the state of biodiversity. It allows a science-based model of the pressures’ impact.

The MSA models the impact of corporates’ activity, enabling an appraisal at a portfolio level, fit for the needs of large financial institutions, going beyond datapoint relevant only for project-level reviews. The MSA is easy to understand to represent in a concrete manner the impact of a portfolio on Biodiversity (equivalent surface artificialised by year).

Where and how do you source your data?

IDL uses only public information to source data. Company information is updated once a year.

What is the cost for your data offering?

Pricing depends on coverage requirements, and can be provided upon request at

What are the key attributes that differentiate the data you offer?

Iceberg Data Lab’s metrics are based on a robust scientific methodology constantly improved by a research team and reviewed by a scientific committee. As we do not have any business or advisory relationships with issuers, there will be no conflict of interests. Besides, the model is unified for climate and biodiversity to align with the regulator’s demands.

The model reports a full coverage of scopes 1, 2, 3, upstream and downstream. Covering all scopes is important as it can be misleading to only report on a company’s direct emissions. For example, in some cases, scope 3 downstream can represent 90% of a companies’ total emissions. A data quality level is also reported to show the level of modelled and reported data.

We have an unbeatable granularity level covering all sectors and over 2,300 products and services. Additionally, we enable to appraise different products and services in the same sector and, therefore, identifying contributors to transition. Our model is also scalable to other environmental impact measures (i.e. waste, water, impact on human health) and can easily be derived to produce new indicators.

Biodiversity is measured by the Mean Species Abundance (MSA), which is the best available proxy for modelling biodiversity impacts. It allows to compare companies, track their progress over time and simulate mitigation actions. Within the CBF, scores per impact category (land use, climate change, air pollution and water pollution) are reported to display the contribution of these impacts per company or sector.