Analysing-Unicorn-Companies---SQL

Analysing-Unicorn-Companies—SQL

Analysing Unicorn Companies using SQL

Investment firms are constantly seeking insights into trends among high-growth companies to make informed decisions about their portfolios. Investment firms can leverage this information to gain a competitive edge in understanding industry trends and structuring their portfolios strategically. This project involves analyzing a PostgreSQL database containing information about unicorn companies, their valuations, funding, industries, and other relevant details.

Database Structure

The PostgreSQL database consists of the following tables:

Results

The SQL query results provide valuable insights into the trends among high-growth companies (unicorns) across different industries for the years 2019, 2020, and 2021. Here’s an interpretation of the key information:

Industries with the Highest Number of Unicorns:

E-commerce & Direct-to-Consumer:

Fintech:

Internet Software & Services:

Average Valuation (in Billions) of Unicorn Companies:

Fintech:

Internet Software & Services:

E-commerce & Direct-to-Consumer:

Key Observations:

These insights are crucial for investment firms, providing a comprehensive understanding of industry trends and assisting in strategic decision-making for portfolio structuring.