<ul><li>VCs work an average of 55 hours per week, with significant time spent on manual data collection and evaluation processes.</li><li>Traditional VC processes rely on subjective judgment and can lead to inconsistent and biased decision-making.</li><li>Data-driven solutions like automated deal sourcing, predictive analytics, and enhanced network analysis can improve VC efficiency and effectiveness.</li><li>Adopting data-driven methodologies is crucial for VCs to stay competitive, make informed decisions, and promote inclusiveness in funding.</li></ul>

VC Data Series Part 2: Why Venture Capital Needs to Be More Data-Driven

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