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CASE STUDY

Leveraging talent data to scale a leading intelligence platform serving hedge fund managers and capital allocators

Key Results:

Expanded Fund Tracking: OWL now tracks nearly 10,000 funds, broadening coverage for allocators.
Enhanced Data Accuracy: Using a global talent dataset for reliable, up-to-date information on fund managers.
Scalable Data Solution: Unlocked a scalable and effective approach for sourcing high-quality talent data.

Learn how OWL leverages a global talent dataset to enhance their intelligence platform for capital allocators. This case study explores how OWL expanded their fund tracking to nearly 10,000 funds with improved data accuracy by integrating a global talent dataset. Leveraging the Person Search and Person Enrichment APIs, the OWL team was additionally able to help users to identify emerging opportunities through detailed tracking of team changes across key funds. This strategic approach now positions OWL for continued growth and success in the competitive financial landscape.