Tech in ESG: role of data analytics and benchmarking in ESG

Podcast host Silloo Jangalwala, Associate Director, BMC, speaks to Nitesh Mehrotra from Business consulting at EY India about measuring ESG performance with data analytics.

Background:

ESG today is a focused boardroom agenda for all leading enterprises to create and protect value. It is critical to have consistent and comparable scientific measurement of sustainability variables across all stakeholders. There is a need to have a single version of truth with near to real time performance analytics to create actionable insights.

Key takeaways

• There are several ESG frameworks and ratings, including the SEBI BRSR in India, built from the point of view of different stakeholders such as investors, customers, societal and regulatory.
• ESG data goals have four pillars: scientific measurement and baselining; benchmarking and continuous monitoring; improving performance; and effective communication of the impact and value to stakeholders.
• An organization needs to measure not only the enterprise data it emits but also that of third-parties, in, say, the supply chain, and external data such as from ratings agencies, competitor intelligence, and sectoral benchmarks.
• The EY BRSR database creates benchmarks and analytics models to provide a view of the sectoral peers’ performance as well as scientific measurement of sustainability variables.

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