El análisis de datos en apoyo a la gestión de la ense？anza en la carrera Ingeniería Industrial

current development of technologies for data analysis aids organizations understanding their processes to a greater extent and taking actions more effectively regarding such processes. universities are organizations where the use of these technologies is viable. the work shows the design and application of a methodological proposal based on using multivariate analysis techniques in order to obtain relevant information about learning characteristics of industrial engineering students from polytechnical university of havana "josé antonio echeverría", cujae (in its spanish acronym) . by means of putting into practice the suggested techniques, it is possible to characterize students learning condition at each academic year and investigate transitions from one condition to another throughout academic years. considering recommendations given in the model for using knowledge discovered on data, it is possible to help didactics in managing teaching process because educational actions are more focused on students' individual differences.