For most financial institutions, implementing an enterprise-wide ESG investment and risk-management strategy can be cumbersome. Typical ESG data comes from many sources and exists in multiple formats, often needing the application of sophisticated processes to make the data usable.
In this white paper, you’ll learn how global banks create comprehensive ESG investing workflows by harnessing the capabilities of machine learning and cloud data strategies to analyze and extract insight from the data present at their fingertips. You’ll also discover:
– The importance of good management of ESG data for financial institutions
– Ways to implement enterprise-wide ESG investment and risk-management strategies
– The technologies needed to build out ESG data pipelines