How should vc firms use information systems / big data to maximize performance?

How about automatic analysis before finding a startup, before investing in them and post investment when they are a portfolio company? I recently invested in here in London, UK. Bright*Sun is using smart algorithms on loose data to help VCs and private equity firms find dealflow and monitor their portfolios faster and better. The unique part of their offering is that it is the only platform to pair analytics and algorithmic sourcing while others simply consolidate or aggregate data. see more on why i invested here: https://medium.com/philosophy-logic/a689e76d77c1

Finding people with the right skills to manage their companies and deliver the results, rather than looking for industry average profiles, which leads to a lot of Zuckerberg lookalikes but not a great improvement in performance. This solution is a mix of crowdsourcing and big data, and moves away from job descriptions and filtering CV's towards database matching of skills profiles with validated skills and competences. There are a couple of platforms, the Indian government commissioned one, but the one I prefer is iQ4. It is currently targeted at colleges, with students being offered real-world work-related challenges that test and validate their various skills, including soft skills. NASA is a user and it is currently getting a lot of attention in the cybersecurity community.