4 perspectives on the future of data-driven investing

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This webinar and accompanying article were originally published on the TechCrunch blog.

VCs typically make investment decisions based on exhaustive research, personal networks, and gut intuition, but technology adoption continues to change the investment landscape. More applications of unique datasets, custom scoring algorithms, and AI-powered data warehouses are becoming the norm. However, while these tools have helped firms understand the people and markets they’re investing in, companies still do not feel confident enough to solely rely on their tech stack to make decisions.

The role of relationship intelligence in your tech stack

This is where relationship intelligence plays a key role. Relationship intelligence is a category of insights about an organization’s shared business network that drive how dealmakers spend their time finding, managing, and closing deals. Investors that tap into these insights increase their dealflow by 25% and save over 200 hours each year by automating contact and deal data entry.

But what does this really mean and how are different companies using it to build relationships and close deals more efficiently—especially as more firms face macroeconomic pressure?

We spoke to three top VCs to find out: Bessemer Ventures’ Sakib Dadi, Alpha Partners’ Brian Smiga, and Parikshit Sharma of SOSV’s IndieBio. They discussed the role data plays in helping them get a better understanding of their networks, so that they can thrive in today’s market.

VCs discuss what it means to be a data-driven investor

Watch this webinar for tips on using larger datasets and data enrichment to power sourcing, find investment opportunities, and create more value for your portfolio companies. Plus, learn about how Affinity has helped Sakib, Brian, and Parikshit incorporate Relationship Intelligence into their tech stack.

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