Environmental, Social, and Governance (ESG) data has become a cornerstone for sustainable investment and corporate accountability, with 99% of financial institutions considering it essential for investment decisions. However, integrating and governing this complex and diverse data requires advanced technological solutions.

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GRI Standards are intended to allow businesses to report their most significant effects on the environment, social, and governance aspects. Both inward (how business is impacted by sustainability) and outward (how business impacts society and the environment) angles are addressed by GRI Standards—taking double materiality in practice.

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Most companies start their ESG journey by monitoring core numbers—carbon footprint, water usage, gender diversity, community footprint. But these numbers, typically laboriously compiled and spreadsheet-based, cause more confusion than clarity if not linked to strategy, materiality, and performance insights.

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The shift towards sustainable finance is accelerating, with investors increasingly leveraging alternative Environmental, Social and Governance (ESG) data metrics for deeper insights. Traditional ESG reports, often static and retrospective, are being supplemented by real-time ESG analytics and ESG monitoring tools.

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As global ESG regulations tighten—from the EU’s CSRD to the SEC’s climate-related disclosures—companies are under increasing pressure to ensure the accuracy, consistency, and compliance of their ESG data. Yet, according to the 2024 Global ESG Survey, only 6% of organizations have end-to-end ESG measurement systems in place.

Read more: https://neoimpact.com/blog/ens....uring-esg-data-accur