Achieving Operational Brilliance in Private Markets by Overcoming Fractured Data Chains

Join us for a webinar with industry analysts Celent to hear the results of new research into the data management and operational best practices used by leading asset allocators and managers to capitalize on growth opportunities in private markets.

Drawing on recent interviews with market participants, Cubillas Ding (Research Director at Celent) will share insights into the pain points firms face when acquiring, processing and exchanging data (“the great data chain problem”) and will discuss how they are responding to a range of demands, including more frequent and granular information requests, diverse reporting practices, the diversification of investment strategies, and the need to support AI initiatives.

Cubillas will be joined by Chris Sparenberg (Head of iLEVEL, S&P Global Market Intelligence) for a discussion about the strategies asset allocators and managers are adopting to transition from what is often a cycle of inefficiency towards an optimal, scalable operating model, with a ‘data first’ information strategy across the private investing lifecycle.

The topics covered will include:

• Removing data friction and barriers, and improving data quality
• Keeping pace with disclosure requirements for financial information, operating metrics and non-financial KPIs
• Managing the variety of data required across different asset classes, as well as varied reporting practices
• Establishing a strong foundation for data science and AI capabilities
• Implementing a scalable operational framework that supports differentiated alpha generation capabilities

Speakers

Chris Sparenberg

Head of iLEVEL
S&P Global Market Intelligence

---

Cubillas Ding

Research Director
Celent

---