This thesis belongs to the field of academic analytics and aims at examining educational data from various sources, such as information systems and educational platforms, provided by Academy of Rennes (France) within its project dedicated to digital inequalities in Finistère region (Territoire Numérique Éducatif - Finistère). The first step has been to centralize data from various sources and to examine their format and type. Subsequently, the data has been analyzed in order to identify trends or patterns and to establish a reporting of these data. The ultimate goal was to develop predictive models related to the issues of digital inequalities, which can help to provide education stakeholders with digital decision-making tools allowing them to identify inequality situations, as well as to understand the key actions to be implemented to enhance education by taking advantage of digital technologies.