Modelling of Educational Data Following Big Data Value Chain

Big Data is attracting increasing amount of attention among academy, industry and citizens. It poses both opportunities and challenges for society as a whole. In order to gain value from Big Data, it needs to be processed and analysed in an appropriate way, and the results have to be presented in a visual manner as to be able to effectively support decision making. Following the current trends in Big Data, this paper aims to prove the value-creation of Big Data by proposing a new data model in the field of the primary and secondary education in Bulgaria. It follows the Big Data Value Chain concept in order to group the schools depending on the concentration of students with learning deficits and risk of premature leaving the education system. The primary purpose of the proposed Data Model is to drive decisions by turning information into intelligence.