Data-driven VCs should start by answering one fundamental question: 'What data available in the world correlates with the signals most relevant to our firm?'
Billionaire Evergrande Founder Reportedly Placed Under Police Surveillance In China As Fears Of Collapse GrowData-driven VCs should start by answering one fundamental question:"What data available in the world correlates with the signals most relevant to our firm?"
From there, it’s useful to articulate which stage of the firm’s value chain will benefit most from a data-driven initiative. For example, good deal sourcing datasets require exhaustive coverage. You need as much data as possible on your entire universe of potential startups and founders to ensure nothing gets missed.
Getting specific on the types of data your firm requires and why will give you an actionable blueprint for the next step—experimenting with existing tools.With your data needs defined, you can be proactive about sourcing datasets that cover those signals and attributes and experimenting with that data using tools that are widely available.
For one of our customers, the focus of data is on developer platforms and infrastructure software. They mentioned that they extract data from sources on developer platforms, which they then operationalize using their internal tooling to pinpoint projects that stand out as potentially intriguing or deserving of further attention. That approach helps them recognize emerging trends and the factors that contribute to the success of specific products.
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