This paper presents a study that first of all, characterizes decision criteria in order to select a type of mobile application to be developed. Next, the study focuses on the comparison of technological alternatives for displaying learning analytics on mobile devices. This paper presents a comparison of tools to develop analytic visualizations taking into account general aspects, and some specific characteristics. Then, the study supports decision making in mobile applications development using learning visual analytics. Mobile application prototypes were implemented using the different studied technologies. In these prototypes, learning analytics support a process of competence qualifications in a higher education course on the EQF. Diagrams used in analytics show the results in percentages or summations of the levels of competence reached by some students in the course. A series of tests are presenting different conclusions about the efficient use of these technologies, and the type of mobile application to develop.