From the course: The Data Science Playbook for Private Equity and Venture Capital

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Data science in the private equity lifecycle

Data science in the private equity lifecycle

From the course: The Data Science Playbook for Private Equity and Venture Capital

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Data science in the private equity lifecycle

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- [Instructor] As private equity and venture capital firms begin looking into data-driven value creation using data science teams, it's important to think about the lifecycle of their investment. We can start with the Early Exploration phase. This involves mining databases for trends and customer insights. The next phase is Enhanced Pre-acquisition and Due Diligence. Their data scientists can link early exploration insights with company data, validating growth assumption, customer value, and other key assumptions, as well as assessing the current and projected value of assets. The next phase is where the data is the richest. This is the Post-acquisition Value Creation stage or the Operation stage. At this phase, the private equity and venture capital firms have a portfolio of companies. This portfolio's data can be leveraged along with external data to improve operations, identify growth opportunities, and enhance…

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