How Data Science is Improving Venture Capital

Would you say data science is changing things?

What Data Sources are University Growth Fund are using at this point?

For seed and early-stage firms, when data is almost non existent, will it be a barrier

A venture capital deal pipeline has three key elements: sourcing, benchmarking and value-add. Can Data science help on all three fronts?

What are some of the other challenges you foresee?

It’s a very intuitive field, do you think backing it with numbers and data will give VCs clarity while making decisions or make them second guess their intuition on things that really matter- word of mouth, integrity, past personal or peer experiences.Things that data can’t support.

Often, data from sources such as Twitter, LinkedIn, Pitchbook, Crunchbase, and AngelList are obtained and then pooled and organized. The organization and manipulation of third-party data can be time and labor-intensive. Pooled third-party data that is improved and arranged in a customized manner can eventually become proprietary in nature. Your thoughts?

Once VC ventures become data backed, they will need to hire or re-organise teams that can collate and work with such data. How soon do you see that shift coming