I tried my hand at a Tableau dashboard using a sample dataset provided by the Platform itself. The dataset, which documents the new list of "Inc. 5000 Companies" for 2014 provides a list of the Fastest-Growing Private Companies in America as of then.
These companies were ranked by growth and revenue, among other variables available like the number of workers in the company, the region, city, state, metro and the industry to which each company belong.
The result of the analysis shows the following key insights (for Investors and VCs) that might want to join the company and also talents looking to join a fast-growing company.
1. One of the companies had a total of 34,219 workers, the company is the
Universal Services of America. The company incurred about $ 800M in revenue.
2. The company with the highest revenue of up to 5.5 Billion was the
Pacific Union situated in San Francisco and had about 600+ workers. It is a Real Estate company 😎
3.
Fuhu Inc. ranked first with a growth of 158,957% as of then, a growth that rightly matched a revenue of $ 195M.
4. Consumer Products and Services, Food and Beverages and Business Products and Service were the top 3 industries that experienced tremendous growth as of then.
5. The company that stayed the longest (for years) on the
Inc. Magazine 5000 List as of 2014 stayed for 12 years and the company was
TriNet, a Human Resources Service Company.
6. California, followed by Texas was the State with the most number of companies and hence, incurred the most revenue as of 2014 ($30 B and $28 B).
There are lots more insights generatable but it's not the quantity but the quality of analysis that matters.
A lot has changed since then (2014) as expected, currently,
Vytalize Health is at the top of the list for this year (2024) with a growth percentage of 90,779% as shown on the Inc 5000 website (find the link in the comment section).
My next line of action is to utilize Python to Web scrape the most recent list of the Inc. 5000 companies and study the patterns yet again. Let's see how that goes.
As a passionate data analyst with a deep interest in harnessing the power of data, I am eager to join an innovative company where I can contribute to driving strategic decisions through insightful analysis.
With a focus on transforming raw data into actionable insights, I aim to empower organizations to make data-driven decisions that fuel growth and innovation.
I am excited to help businesses uncover hidden trends, optimize performance, and stay ahead in an ever-evolving market.
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