Impact-Cubed - Empirical ESG and Impact Data
Data category
- Environmental data
- Governance data
- Indices/Exchange data
- Rankings
- Research data
- Social data
- Empirical ESG data; Company Geographic Revenues; Impact data; Products and Services data; Sovereign Data; Regulatory data; SDG alignment data
The data offers solutions for:
- Carbon footprinting
- Climate scenario analysis
- Environmental impact analysis and insight
- Investment decisions and portfolio insight
- Nature-based information: Biodiversity
- Nature-based information: Land use
- Nature-based information: Oceans
- Nature-based information: Water
- Physical risk
- Reporting: EU Regulations
- Reporting: Impact
- Reporting: Other Regulations
- Reporting: SFDR
- Reporting: TCFD
- Reporting: TNFD
- Reporting: UN SDGs
- Social impact analysis and insight
- Temperature alignment
- Transition plan assessments
- Portfolio optimisation; Portfolio creation; Physical Climate Risk; Wealth management
Who are the data users?
- Financial institutions
- Investors
- Trustees
- Wealth Managers; Family Offices; Asset Managers; Portfolio Managers; Asset Owners
Brief description of the data offering
Impact Cubed offers unique empirical ESG data, as well as an online analytics platform that enables investors to measure and assess the real-world impact of their investments. Their data covers every publicly listed company globally, providing granular insights into ESG performance across 150+ metrics. Their online analytics platform enables full exploration and analysis of their data, as well as the detail required for increasing regulatory scrutiny. Investors can choose from ESG and impact modules for corporate equity and debt, sovereign debt, climate and TCFD, and EU Regulations (SFDR and EU Taxonomy). Detailed SDG analytics are also available at a company and portfolio level, as well as detailed product and services data covering 2,300+ different business activity classifications.
Where and how do you source your data?
As quantitative investors ourselves, our ESG and impact models were built to favour algorithmic and machine-based approaches. We source raw data as disclosed by companies or countries, using quantitative algorithms to source, standardise, and quality assure the incoming data. Where companies do not disclose their data, investors can choose to include Impact Cubed estimates which are based on an industry-leading sector classification model covering 2,300+ business activities, considering all company regional-based revenues.
What is the cost for your data offering?
Licenses are based on an annual subscription fee, with pricing based on the coverage required and the use case. Data is available by feed, API, or our platform.