Matter - Sustainability Insights Suite
- Environmental data
- Governance data
- Indices/Exchange data
- Social data
- SDG data
- Regulatory compliance
- Third-party expert insights
Brief description of the data offering
Matter is a financial technology company specialising in the provision of sustainability insights to the financial industry, based in Copenhagen. Matter offers a wide range of data and solutions which enable investors to better understand the sustainability of their investments, comply with regulations, and build pioneering sustainable financial offerings. Matter uses the power of collective intelligence and pioneering technology to provide insights which are granular, transparent and accountable, representing the real-world impact of investments, aligned to leading regulatory and industry-led frameworks, including SFDR and the United Nations Sustainable Development Goals. Data offerings include:
Impact Metrics - Key environmental and social metrics, including Carbon Scope 1, 2 and 3 emissions and CEO remuneration. Available for over 50,000 issuers. Based on reported data and advanced estimation methods.
Private Equity Impact - Key environmental metrics estimated for private equity issuers. Available for over 3 million issuers. Based on reported data and advanced estimation methods.
Thematic ESG Flags - Controversial and beneficial expert observations on environmental, social and governance issues. Available for over 8,000 issuers. Based on third party observations from +45 expert sources.
SDG Revenue Fundamentals - Company revenue alignment and misalignment with each of the 17 UN SDGs. Available for over 58,000 issuers. Based on company reported revenue data and industry classifications.
SDG Capex Fundamentals - Company capex alignment and misalignment with each of the 17 UN SDGs. Available for over 23,000 issuers. Based on company reported capex data and industry classifications.
SDG Signals - Daily sentiment analysis of companies’ SDG-related coverage from 75,000 news sources. Available for over 44,000 issuers. Based on global news media coverage.
EU SFDR PAIs - Mandatory and voluntary PAI metrics needed to meet regulatory reporting requirements. Available for over 50,000 issuers. Based on reported and third party insights.
EU Taxonomy Alignment - EU Taxonomy eligibility and alignment metrics needed for SFDR reporting requirements. Available on over 50,000 issuers. Based on reported and third party insights.
Depending on the required solutions, data is available:
- Via Matter’s online portfolio analysis platform.
- In dataset format.
- Via API integration.
The data offers solutions for:
- Carbon footprinting
- Environmental impact analysis and insight
- Reporting: EU Regulations
- Reporting: SFDR
- Informing sustainable investment definitions
- Aligning investments with the SDGs (revenue and capex)
- Thematic portfolio and ETF construction
- Index construction
- Sovereign analysis
- Screen universes
- Identify impactful companies
Where and how do you source your data?
Matter collects data via three distinct mechanisms:
- Company Reported Data - Matter utilises company reported data, such as Carbon Emissions or revenue data, before applying rules and methods to align it with leading frameworks, such as SFDR or the SDGs. Where data gaps exist, they are addressed by utilising advanced, machine learning-driven estimation methods.
- Third party observations - We harness collective intelligence, working with +45 expert sources (think tanks, NGOs, academic institutions, specialised data providers) to provide an outside in perspective on different areas of company sustainability on areas such as human rights, biodiversity and beyond.
- Advanced technology - We apply a Natural Language Processing model to millions of articles of global news media to provide insights into how companies are perceived in the media, aligned with the SDGs.
Who are the data users?
- Financial institutions
- Asset Managers
- Asset Owners
- Retail Investment Platforms
- Financial Advisers
What is the cost for your data offering?
Pricing differs depending on the nature and extent of the data required.