How to Build an Efficient Enterprise ESG Data Strategy in Banking with Cloud and Machine Learning

ESG investing is now integral to financial institutions’ activities, motivated by client demands for sustainable investment options, regulatory obligations and a growing cultural shift towards ensuring that capital is allocated to do better for the planet and the people on it.

For most organizations, ESG data isn’t as easy to integrate into company systems as typical financial data. ESG data exists in many formats and often needs the application of sophisticated processes to make it usable. This places a greater emphasis on the need for efficient and effective data management.

In this whitepaper, you’ll learn:

  • How to harness the capabilities of Snowflake and Microsoft Azure Machine Learning to help adopt a cloud-first data mesh strategy with ESG data
  • Ways to implement enterprise-wide ESG investment and risk-management strategies
  • The technologies needed to build out ESG data pipelines