Private market investors face 3 major inefficiencies when it comes to ESG data collection:
1) Manual Processes:
Private market firms often rely on manual ESG data collection processes, which usually consists of:
With the growing number of investor data requests and ESG regulatory requirements, sustainability teams are becoming resource strapped, making these manual processes redundant.
2) Low Data Coverage Rates from portfolio entities, mainly because of:
3) Lack of Standardization in ESG Metrics & Benchmarking:
While initiatives like the ESG Data Convergence Initiative (EDCI) and ILPA’s Diversity In Action (DIA) are standardizing ESG metrics in the Private Markets to a large extent, custom investor KPIs and the evolving nature of ESG standards make it difficult to consolidate and compare ESG data across portfolios.
The demand for talent with the expertise to collect, analyze, and report on ESG data is on the rise, and PE firms are investing in sustainability teams to build internal capacity. However, this alone is not enough to improve data quality and coverage rates. You can have a skilled sustainability team to operationalize the ESG imperative, but if your PortCos don’t recognize the strategic value of ESG, data submissions and engagement will be low.
What the Market has shown us:
While these efforts can improve response rates from portfolio entities, they cannot effectively address the inefficiencies associated with ESG data collection. In fact, PE firms are realizing that sustainability teams and PortCo engagement are just one part of the solution to the private markets ESG data collection conundrum.
More recently, we’ve seen GPs adopt a hybrid approach, where sustainability teams/roles are supplemented by ESG management and reporting solutions that optimize the entire data collection and reporting process.
What the Market has shown us:
While the hybrid approach above provides a strong foundation for collecting quality ESG data, leveraging external data sets brings the entire process full circle. GPs increasingly view external data sources as an essential component of ESG reporting, as they not only complement internal data but also provide sector-specific and geographic benchmarks, offering a comprehensive view of portfolio-level ESG performance. For instance, if a GP wants to assess its PortCos’ carbon emissions, it can use industry- and region-specific data on carbon outputs to establish meaningful performance benchmarks. By integrating external data in this way, GPs and PortCos gain a comparative framework, allowing them to evaluate where they stand relative to industry standards and peer metrics.
Clearly, solving the private markets’ ESG data collection conundrum demands a multi-faceted, triangular approach that integrates technology, skilled sustainability teams, and external data sets. By taking decisive steps now, private market players can transform ESG from a compliance exercise into a powerful catalyst for long-term value creation and sustainable growth.
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