What data sources are most important for VC analysis?

1 Industry and market data

Industry and market data provide the macro-level context for your VC analysis. They include information such as market size, growth rate, competitive landscape, customer segments, regulatory environment, and emerging trends. You can use industry and market data to assess the potential and attractiveness of a sector, identify gaps and opportunities, and benchmark your portfolio companies against their peers. Some sources of industry and market data are research reports, trade publications, industry associations, and government agencies.

2 Company data

Company data provide the micro-level details of your potential and existing investments. They include information such as financial statements, business models, product offerings, customer feedback, traction, metrics, and milestones. You can use company data to evaluate the performance, potential, and risks of a company, as well as to compare it with other similar companies. Some sources of company data are company websites, pitch decks, databases, platforms, and newsletters.

3 Deal data

Deal data provide the transactional information of your VC activities. They include information such as valuation, terms, structure, syndication, and exits. You can use deal data to negotiate and close deals, monitor and manage your portfolio, and measure and report your returns. Some sources of deal data are deal databases, platforms, networks, and news outlets.

4 Network data

Network data provide the relational information of your VC ecosystem. They include information such as contacts, connections, referrals, introductions, and recommendations. You can use network data to source and screen deals, build and maintain relationships, and access resources and opportunities. Some sources of network data are social media, events, conferences, accelerators, and incubators.

5 Expert data

Expert data provide the specialized knowledge and insights of your VC domain. They include information such as opinions, advice, analysis, and forecasts. You can use expert data to validate and challenge your assumptions, learn from best practices, and anticipate future scenarios. Some sources of expert data are blogs, podcasts, newsletters, books, and courses.

6 Feedback data

Feedback data provide the continuous improvement and learning of your VC process. They include information such as feedback, reviews, ratings, and surveys. You can use feedback data to measure and improve your customer satisfaction, brand reputation, and operational efficiency. Some sources of feedback data are customer service, online reviews, ratings platforms, and surveys.

7 Here’s what else to consider

This is a space to share examples, stories, or insights that don’t fit into any of the previous sections. What else would you like to add?