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
- Reporting: TNFD
Who are the data users?
- Corporates
- Financial institutions
- Investors
Brief description of the data offering
The Dependency score is the mean dependency across all 26 ecosystem services weighted by sector revenues. It refers to direct dependencies (Scope 1 only). IDL provides separate data points for the total mean dependency, provisioning dependency, regulating dependency and cultural dependency.
Cultural Services:
Non-physical benefits that people obtain from ecosystems.
Provisioning Services:
Tangible resources or goods that people obtain from ecosystems.
Regulating Services:
Natural phenomena moderating natural cycles.
IDL also offers another data point embedded into the dependency score called The Dependency at Risk; which is the percentage of the total revenues that are exposed to a High or Very High dependency.
Where and how do you source your data?
IDL uses only public information to source data. Each line is updated at least once a year.
What is the cost for your data offering?
Pricing depends on coverage requirements, and can be provided upon request at Sales@icebergdatalab.com
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 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.
