Banks face ESG data challenges due to fragmented systems, inconsistent definitions, and data quality issues. Regulatory pressures and investor demand require transparent, high-quality ESG reporting. Cloud platforms like Snowflake and Azure, combined with machine learning, help unify data, automate workflows, and improve governance. This enables accurate sustainability scoring, risk modeling, and compliance. Key steps include building a single managed data platform, leveraging ML for analytics, and accessing curated ESG datasets. Modern cloud infrastructure breaks down silos, providing scalable storage, compute, and collaboration to support enterprise ESG strategies effectively.

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