Social entrepreneurship is an opportunity to build associative economy systems, production, and marketing networks as a growth strategy in developing countries. This study presents the basic requirements to develop in software the module corresponding to the analysis of results of the Nexus 4D model, which consists of a questionnaire of 40 questions validated by entrepreneurship experts. This model identifies the current state of the venture, scores it at a level of maturity, and defines its strengths and weaknesses. A sample of 100 social enterprises from the food industry distributed in 18 provinces of Ecuador was taken through a descriptive analysis to determine data that favors the acceleration process individually and in groups. The results show that Nexus 4D provides ideal information for software programming since 100% of the data provides information used to make strategic decisions in business environments. In the future, this software can be programmed with the support of artificial intelligence for better results.
