B2B IT startup management based on a data-driven decision-making approach

Abstract

This master's thesis is devoted to the research of a data-driven decision-making approach. The research was carried out on the basis of a Russian IT startup called "Restik” which creates cloud solutions for automating the restaurant business. The main research question is how to apply principles and methods of data-driven decision-making approach to mobile applications operating in B2B market. General scientific research methods, literature analysis, case studies, and financial modeling were used during the research. As a result, a data-driven management approach was investigated, the approach was adapted to the studied startup and practically applied to decision-making within the studied startup. This paper considers 4 different practical cases of approach usage, which show how data could help in such complicated task as managing the start-up.