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TEAM

Startup Success: Unveiling Predictors of Entrepreneurial Triumph

Ying Wang, Shengkuan Yan, Viktor Burghardt, Saem Han

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Main Objective: Identify factors that influence the success of new ventures and develop predictive models for venture outcomes.
Key Questions:
What specific factors (e.g., founder characteristics, industry type, funding sources) are associated with successful startups?
How can we predict the likelihood of a venture's success based on early-stage data?
Definition of Success: Specify clear success metrics, such as survival rate, profitability, growth rate, or acquisition.

Identify Datasets:
Crunchbase, AngelList, Kauffman Firm Survey, Census.gov, and the Global Entrepreneurship Monitor.

Information on:
Founder characteristics (education, experience).
Business demographics (industry, size, location).
Funding (seed, Series A, venture capital, angel investment).
Performance outcomes (revenue growth, exit/acquisition, failure).

Tools: Python, Stata, R, Tableau

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