ESG Data Guide 2023

Iceberg Data Lab - Dependency scores

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

Who are the data users?

  • Corporates
  • Investors
  • Financial institutions

Brief description of the data offering

The Biodiversity Dependency Scores measure the dependencies of an economic sector to ecosystem services. It illustrates how that sector can take advantage of the given service and how disruption of the service might negatively impact the economic sector. This measurement is provided by a final score aggregating three sub scores corresponding to provisioning, regulating and cultural services.

Where and how do you source your data?

We use only public sources to source our data and each line is updated at least once a year.

What is the cost for your data offering?

The cost depends on the number of lines subscribed, as it is tailored to our clients’ needs.

What are the key attributes that differentiates 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 companies’ 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.

Double materiality can be determined by measuring the company’s dependency on ecosystems services and the company’s impact on biodiversity. Our model includes over 26 regulating, provisioning and cultural services on which the dependency score is based. This score can display the distribution of these services per company or sector.