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S&P Global Inc (SPGI)
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S&P Global Partners with Cambridge Associates and Mercer to Launch Innovative Private Markets Datasets

Last updated: March 31, 2026
Taurigo

1. Introduction to the New Initiative

In a significant development for the financial industry, S&P Global (NYSE: SPGI) has announced the launch of the S&P Global, Cambridge Associates, Mercer Private Markets Performance Analytics datasets. This initiative, which marks the first output of the collaboration established in 2025, aims to offer investors comprehensive tools for performance comparison, risk management, and deal underwriting in the realms of private credit and real assets.

2. Key Features of the Datasets

The newly launched datasets provide standardized data across thousands of funds and their underlying assets, enabling investors to make informed decisions. With the integration of S&P Global's iLEVEL portfolio monitoring platform, the datasets utilize a proprietary private markets taxonomy that standardizes, aggregates, and anonymizes essential data.

Benefits for Investors

Investors, both limited partners (LPs) and general partners (GPs), can leverage these datasets to:

  • Compare Performance: Access consistent, standardized metrics to evaluate investments against similar opportunities.
  • Understand and Manage Risk: Utilize comprehensive market, sector, and deal-level data to inform risk management strategies.
  • Determine Portfolio Impact: Assess the implications of market events on investment portfolios with enhanced speed and confidence.
  • Access Actionable Intelligence: Gain insights into asset valuation trends, fundraising dynamics, and overall deal activity.

3. Insights from Industry Leaders

Saugata Saha, President of S&P Global Market Intelligence and Chief Enterprise Data Officer of S&P Global, emphasized the importance of this collaboration, stating, "As private markets evolve, the need for consistent, decision-ready intelligence has never been greater." He highlighted how the initiative transforms fragmented information into comparable intelligence, empowering investors to evaluate risk and make more disciplined investment decisions.

Andrea Auerbach, Global Head of Private Investments at Cambridge Associates, echoed this sentiment, asserting that “powerful data leads to more informed insights and better decision making.” She noted that the new solutions will enhance their ability to provide clients with insights that position portfolios for long-term success.

Rob Ansari, Global Head of Analytics and Portfolio Solutions at Mercer, reiterated the necessity of comprehensive performance data in an increasingly complex private market landscape. He remarked, "Better data leads to better decisions," reinforcing Mercer’s commitment to delivering top-tier data for informed capital deployment.

4. Availability and Future Prospects

The private credit and real assets datasets are now accessible globally to investors, with applications spanning portfolio performance monitoring, risk management, asset allocation, fundraising analysis, and competitive insights. This initiative is designed to support investment teams, risk managers, and senior leadership at both LP and GP organizations.

Looking ahead, S&P Global plans to release additional datasets covering private equity and other asset classes later in 2026. Future enhancements will also include data feed APIs and integrated software solutions, further enriching the analytical capabilities available to investors.

5. Conclusion

The launch of the S&P Global, Cambridge Associates, Mercer Private Markets Performance Analytics datasets represents a pivotal step toward enhancing data accessibility and analytical precision in private markets. As the landscape continues to evolve, this collaboration underscores the importance of reliable data in facilitating informed investment decisions and driving long-term success.

For more information on the newly launched datasets and S&P Global's suite of private market solutions, interested parties are encouraged to visit the official S&P Global website.

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