The goal of this work is to use computational methods for visual data analysis in order to obtain a structure for analysis (classification) of the indices related to the concepts of collaboration between supplier and customer. It is desired to know the collaborative barriers and to assess the behavior of groups of companies according to these indices. For the development of this work, a dataset of consumer-goods industries was used for evaluating the collaboration with their client partner. The results showed a new classification propose for the collaborative index; what are the most collaborative enterprises according to location, number of employees, and sub-sectors; and the factors that more evidently represent collaborative barriers, such as: change of company culture, and the low-profit investment.
Key words: Collaboration, visual data analysis, collaboration barriers.