ESG Automation for Sustainable Enterprises (EASE)

ESGTree is an Environmental, Social, Governance (ESG) data management platform for investors and corporations. Collecting, aggregating, and reporting ESG data is painstakingly inefficient for private capital investors. The ESGTree platform sets up individual client systems in a way that it will cater to all their investors and all the standards they need. The project ESG Automation for Sustainable Enterprises (EASE) will enable the ESGTree’s platform to advance automation in the ESG sphere as well introduce advance predictive tools in the market. This project will allow for easier data flow and delivery using integrations with salient data management system, enhanced carbon emissions analysis (especially for infrastructure based projects) and financial impact / cost reduction analysis as a results of ESG management. This will lead to improved customer experience and add to technology-focused ESG innovation for financial institutions globally.

Faculty Supervisor:

Olaf Weber

Student:

Partner:

ESGTree

Discipline:

Earth science

Sector:

Information and cultural industries; Professional, scientific and technical services

University:

University of Waterloo

Program:

Business Strategy Internship

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