Abstract: Data analytics allows to identify patterns, trends and to obtain valuable information in large volumes of information. The majority of algorithms used in data analysis usually are designed according to the capabilities of power and flexibility more than by its simplicity and are complex for that educators can use them. This study presents the justification of the need to adapt an algorithm for data analysis that allows to perform predictive learning analysis to university teachers. It was used the methodology of the Systematic Literature Review (SLR) which seeks to answer research questions of scientific research publications. It was concluded that it must implement, adapt or develop algorithms defaults to the educational context which might simplify the configuration and implementation of non-expert users.