In this podcast, Nitesh Mehrotra, Business Consulting Partner and ESG Governance, Process & Digitization Lead, EY India talks about the importance of ESG data analytics and benchmarking and deep dives into the real-life use cases and the actionable insights it creates for the enterprise.
In conversation with:
Nitesh Mehrotra
EY India Business Consulting Partner (ESG Governance, Process & Digitization Lead)
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.
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. So, there is a need to have a single version of truth with near to real-time performance analytics to create actionable insights.
For your convenience, a full text transcript of this podcast is available on the link below: Read the transcript.
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Podcast
Duration 17m 06s