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filler@godaddy.com
The Global ESG Score measures a company’s performance on and management of material ESG risks, opportunities, and impacts informed by a combination of company disclosures, media and stakeholder analysis, modeling approaches, and in-depth company engagement via the S&P Global Corporate Sustainability Assessment (CSA). The Corporate Sustainability Assessment includes 62 industry-specific questionaries. You can view sample industry questionnaires for Banks, Pharmaceuticals, and Metals and Mining. CSA invited companies can access the most recent industry questionnaire in the CSA portal.
The S&P Global ESG Score uses a double materiality approach whereby a sustainability issue is considered to be material if it presents a significant impact on society or the environment and a significant impact on a company’s value drivers, competitive position, and long-term shareholder value creation
We provide extensive access to up to 1,000 transparently disclosed ESG datapoints checked against reliable public sources for every company we assess in the S&P Global Corporate Sustainability Assessment (CSA), enabling users to explore the sustainability considerations that matter most in their specific context.
The granularity of our offering enables ESG Raw Data users to lower or remove factors where they see less value and increase the weights on factors they find more relevant. This enables a wide range of workflows, including customization of scoring-related analytics and models, thematic analysis of portfolios, development of alternative peer groups, and much more. Asset managers can run more sophisticated investment screens, banks can incorporate this data into risk evaluation, corporations can research and set operational targets against their peers, and much more.

Our goal is to empower you to navigate your sustainability objectives with deep and robust data insights that are relevant to your context, seamlessly linked with our in-depth cross-reference data and comprehensively connected to our vast array of financial, market, and alternative datasets.
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