A knowledge database discovery approach for improving quality in higher education institutions

Higher education institutions in emergent and underdeveloped nations present a success rate of up to 46%, a low measure if compared to more developed countries, according to the World Bank. Multidimensional analysis plays a crucial role in understanding the socio/economical/geographical; normally, this is made by multisource data recollection and analysis, but it also raises a contextualization challenge starting from the nature of the information system that was extracted. This research portrays a Knowledge Database Discovery approach from a multisource data environment tailored to support the higher education decision-making process based on Data Storytelling. The approach enables tracking multidimensional variables that allow monitoring, profiling, and taking preventive action in a group or individual student, allowing the reduction in desertion, mental issues, or the detection of violence or household issues.