Why Most Indian Companies Don't Have It Yet

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Every BRSR filing implies a level of data rigor that the underlying process rarely has, with numbers pulled together each year from disconnected spreadsheets and department heads who rarely speak to each other about sustainability data.
As assurance and assessment requirements tighten and BRSR Core phasing extends to a wider set of companies, the gap between what a report claims and how the underlying data was actually governed is becoming harder to hide.
Good ESG data governance is a specific, buildable discipline, and most Indian companies are still doing ESG reporting without it.
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For many companies, ESG data collection remains an annual scramble led by the sustainability or CSR team, pulling numbers from HR, facilities, procurement, and plant-level teams with little standardization in how those numbers are defined or calculated. Two factories under the same company can report the same metric using different formulas, and no one notices until an auditor asks.
This gap traces to how ESG reporting entered Indian companies in the first place. BRSR is a relatively recent mandate, and for years before it, sustainability reporting was voluntary and treated as a disclosure exercise rather than a data function. Finance teams built decades of controls, reconciliation processes, and audit trails around financial numbers. ESG data never went through that same maturation, because until recently, nobody outside the company was checking closely.
That is now changing. Assurance and assessment requirements are tightening, BRSR Core is phasing in for progressively smaller companies, and lenders and investors increasingly pull ESG data directly into credit and investment decisions rather than treating it as background context.
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Strong governance starts with defined data owners for every metric that appears in a BRSR filing, a specific person or function accountable for the number's accuracy, not a general sustainability team responsible for the whole report. It also requires standardized definitions and calculation methodologies applied consistently across sites and business units, and documented data lineage that shows exactly where a number originated and how it was aggregated before it reached the final report. This is the same discipline that governs a company's revenue recognition policy, applied to a different set of numbers.
In practice, ESG data still lives in disconnected spreadsheets, plant-level logs, and departmental systems that were never designed to talk to each other. No single function is accountable for ESG data quality the way finance owns financial reporting, and it is common for the same metric to be defined differently across business units within one company. The result is a report that looks complete on the surface but rests on inconsistent foundations underneath, foundations that were never stress-tested because no one outside the company asked to see them until recently.
When an assurance provider tests this data against source documents, weak governance tends to surface as restatements, scope limitations, or qualified opinions, all of which are visible to investors and lenders reading the final report. What looks like a governance problem internally becomes a credibility problem externally, at exactly the moment when more stakeholders are relying on the numbers to make lending and investment decisions rather than treating disclosure as background context.
Companies with mature ESG data governance treat sustainability metrics like financial line items. Data flows through defined systems rather than year-end spreadsheets, controls flag anomalies before they reach the final report, and there is a clear escalation path when a data quality issue is identified. This is less about sophisticated technology and more about applying the same discipline finance teams have used for decades, extended to a newer category of numbers that now carries comparable financial consequence.
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Who owns each metric that appears in the BRSR filing, where does the underlying data originate, and could it withstand the same scrutiny as a financial audit. If those questions do not have clear answers today, that is the starting point for building governance.
Building a data governance framework does not require an enterprise system overnight. It starts with assigning clear ownership for each metric, documenting how data currently flows from source to report, and identifying where definitions vary across business units.
As assurance and assessment requirements deepen and BRSR Core extends to more companies, ESG data governance is likely to become a board-level concern rather than a task owned solely by the sustainability or reporting team.
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Good ESG data governance is a specific, learnable discipline, not a byproduct of good intentions or a strong sustainability team. It requires the same ownership, consistency, and documentation that finance functions have applied to financial reporting for decades.
Companies that build this discipline now will face BRSR Core's expanding scope and tightening assurance standards from a position of readiness rather than scramble.
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ESG data governance is the discipline of assigning clear ownership, consistent definitions, and documented lineage to sustainability data, the same rigor typically applied to financial reporting.
Most companies still collect ESG data reactively each reporting cycle from disconnected spreadsheets and departments, without the ownership and controls finance teams have built over decades.
Weak governance tends to surface during assurance testing as restatements, scope limitations, or qualified opinions, which are visible to investors and lenders.
It looks like defined data owners for each metric, standardized calculation methodologies across business units, and documented data lineage from source to final report.
Companies should start by assigning clear ownership for each BRSR metric and documenting how the underlying data currently flows from source to report.
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