This project consists of a study of the alternatives available to assist the process of decision-making for businesses. The study of the alternatives has been dimensioned so that the maximum number of fields that were considered to be related to the decision-making procedure in companies can be studied. The fields chosen for the preliminary study are: Decision Theory, "Business Intelligence" and "Sentiment Analysis". With the intention to develop a solution to assist the decision-making process, I have designed a system that performs the tasks of capture, storage, analysis and displaying of the results obtained through Twitter data. This system focuses on the analysis of opinion expressed through tweets. The system modules can be executed independently, and perform the tasks of capture or analysis and visualization. The capture module allows us to store tweets that meet certain criteria and store them in a local file. Analysis and visualization modules analyze data from the file and display the results through a graphical interface. These modules perform different analysis such as evaluating the opinion’s evolution, the evolution of the average opinion, the frequency and degree of opinion and geopositioning positive/negative tweets, among various other tasks.