Data Mining Applications in Entrepreneurship Analysis

Creative entrepreneurship is considered an important factor in economic development achievement, specially in the knowledge-based society. Universities play a fundamental role in the process of entrepreneurial development and the entrepreneurship ecosystem.CCEEmprende is a program to support entrepreneurs developed by Facultad de Ciencias Económicas y de Administración - Universidad de la República, Uruguay. In this paper we present the use of data mining to improve decision making in entrepreneurship management, based on CCEEmprende projects data. A case study using several data mining and statistical techniques (association rules, decision trees, logistic regression) is developed with two goals: anticipating project success and identifying the most important factors related to project success/failure.