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CASE STUDY

The Dataset EQUIAM uses to power its one-of-a-kind, Data-Driven investing model

Key Results:

Streamlined data sourcing strategy
Increased data coverage
Improved investment model

Arin, an Investment Team Partner at Equiam, a private VC firm needed a way to identify and prioritize companies that had a strong likelihood of either being acquired or IPO-ing, including being able to compare them against other similar companies that found success.

His team was finding that their existing data sourcing approaches did not scale well to the expanded universe of companies their model was evaluating, leaving them with large data gaps and unreliable signals that hindered effective asset selection.

By moving to a comprehensive data provider, the investment team was able to meet the necessary data coverage targets, streamline their sourcing strategy, and generate additional signals to further improve their investment model.