Iceberg Data Lab - Positive Contribution Biodiversity
Data category
- Environmental data
- Research 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
Who are the data users?
- Financial institutions
- Investors
What asset class does the data cover?
- Fixed income
- Listed equity
- Private equity
- Real assets
- Real estate
Brief description of the data offering
Iceberg Data Lab’s Positive Contribution Tool measures a company’s positive impacts on biodiversity due to improved performance year-on-year, as well as performance versus peers and any compensation actions carried out by a company.
Positive Contribution is measured in three ways:
- Reduced Impact: Indicates if a company has improved its performance compared to a baseline year, resulting in fewer negative impacts than in previous years.
- Avoided Impact: Compares the company's impact to the sector’s average. A positive avoided impact indicates that the company has a lower impact than the market average, producing similar products or services with less impact on biodiversity.
- Positive Impact (IN DEVELOPMENT): Quantifies restoration, sequestration and/or biodiversity offsetting activities of a company.
Iceberg Data Lab provides both absolute values and scores for assessing biodiversity positive contribution. The absolute values for reduced and avoided impacts are expressed similarly to the Corporate Biodiversity Footprint (CBF) metric in km².MSA, while the scores range from -1 to +1. This facilitates a comprehensive assessment of biodiversity impact, enhancing interpretation and comparison across companies.
Impacts are calculated across the value chain at Scope 1-3 upstream and downstream levels, and are based on physical intensities to avoid price and output biases.
Where and how do you source your data?
Company-reported data and sustainability reports, when available and reliable. If company data is not available or incomplete, IDL models the data using sector-, commodity-, and geography-specific parameters.
Open-source databases provided by governments, central banks, and scientific organizations.
Life Cycle Assessment (LCA) databases and financial/environmental datasets for product-level impacts.
Physical flows and input-output models (such as our proprietary Wunderpus model) to estimate emissions through the entire value chain, covering scopes 1, 2, and 3 for high granularity and sector comparability.
Independent scientific studies and internationally recognized frameworks (e.g., IPCC, IEA, SBTi, TNFD, PBAF) for methodologies and benchmark data.
What is the cost for your data offering?
Pricing depends on coverage requirements, and can be provided upon request at [email protected]