Iceberg Data Lab - Positive contribution biodiversity
Data category
Environmental dataThe 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?
- Corporates
- Financial institutions
- Investors
Brief description of the data offering
Iceberg Data Lab (IDL) 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, IDL’s scoring system, with scores ranging from -1 to +1, facilitates a comprehensive assessment of biodiversity impact, enhancing interpretation and comparison across companies.
Impact calculation lies in its unparalleled granularity of data, allowing Iceberg Data Lab to provide a detailed and accurate assessment of a company's environmental and social contribution. Iceberg Data Lab's comprehensive consideration of Scope 3 impacts enables a more holistic and robust evaluation of a company's sustainability efforts and its impact on the broader ecosystem.
Reduced Impact:
The amount of reduced impact indicates that the company has improved its performance, resulting in fewer negative impacts than in previous years.
Avoided Impact:
The 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
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 their 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]