Using Big Data Value Chain to Create Government Education Policies

Abstract

The Big Data Value Chain aims to discover patterns, correlations, and pattern deviations hidden in a dataset. This paper investigates (1) the possible approaches to applying Big Data Value Chain to decision making in the Public sector, specifically in Education; and (2) the ways in which such activities can be automated. The models created can be customized depending on a school's dropout rate and number of students with learning difficulties. This research is part of a current project at the Ministry of Education and Science (MES) of Bulgaria, funded by the Operational Programme Science and Education for Smart Growth which aims to increase student engagement.