SDG Impact for Public Companies and Funds

Util’s SDG Impact for Public Companies product provides the complete view of a company's positive and negative impacts on the 17 UN Sustainable Development Goals (SDGs) through its revenue lines, as well as the impact of funds composed of companies. Our AI-driven Evidence Engine maps a company's products to over 2,000 sustainability concepts and quantifies the impact using peer-reviewed academic research as evidence. Our methodology allows apples-to-apples comparisons across our universe of 50,000 companies: of all sizes, industries and locations. Our data helps investors capture a company’s potential future value offering, and better understand its risk profile in order to support portfolio construction, client reporting, fund creation, and more. ***This dataset includes tickers, LEIs, and ISINs [for non-US/Canada companies]. IF YOU HAVE A CUSIP LICENSE, we can additionally provide you with the complete set of security identifiers, including CUSIPs, SEDOLs and US/Canada ISINs. Sample of this Data Share is available here: https://app.snowflake.com/marketplace/listing/GZT0ZOMX4OJ/util-sdg-impact-for-public-companies-sample Our data helps to: 1. Avoid unseen risks by identifying and assessing unseen impact risks, such as climate change, regulatory changes and reputational risks that may not appear in company disclosures or subjective reports. 2. Meet growing sustainability demands with robust reporting and clear evidence to meet client, investor and stakeholder demand for sustainable practices and investments. Plus, discover hidden value by mapping a company's revenue to its long-term impact. 3. Make informed decisions with evidence-based insights into a company's performance across known sustainability frameworks to understand long-term value, risks, and competitive position so you can make better-informed decisions. Tables: company_impact Values of metrics for companies against impact areas in a given year, along with associated company metadata: ID, name, sector, industry, country, region, subregion. company_product_impact Contributions of company products to company metrics for companies against impact area in a given year, along with associated company metadata: ID, name, sector, industry, country, region, subregion. fund_impact Values of metrics for funds against impact areas in a given year, along with associated fund metadata: ID, name, number of holding, value of holding, country of domicile, Util coverage of holdings. fund_holdings ID, name and holding value for each holding in a fund for each distinct fund report period. company_tickers All tickers and exchange codes for securities associated with a company. company_leis All legal entity identifiers associated with a company. company_isins All ISIN identifiers for securities associated with a company. company_sedols All SEDOL identifiers for securities associated with a company. company_cusips All CUSIP identifiers for securities associated with a company. fund_tickers All tickers and exchange codes for securities associated with a fund. fund_leis All legal entity identifiers associated with a fund. fund_isins All ISIN identifiers for securities associated with a fund. fund_sedols All SEDOL identifiers for securities associated with a fund. fund_cusips All CUSIP identifiers for securities associated with a fund.

搜集汇总

背景与挑战

背景概述

该数据集利用AI驱动引擎和同行评审研究，将公司产品映射至2000余个可持续性概念，量化其对17项联合国可持续发展目标的正面和负面影响，覆盖全球5万家上市公司及基金。数据包含公司、基金的影响指标及多种证券标识符，助力投资者识别风险、发现潜在价值，并支持投资组合构建与客户报告。