The paper presents an application approach based on the Big Data Value Chain concept to data collected for teachers’ demography and qualification. The proposed approach discovers and further enables to account for the teacher ageing as a sensitive factor of the education process. The first step of the study ensures a reliable and holistic dataset by careful preprocessing of the raw data. Different types of data analysis have been applied in the analytical step. As the statistical analysis was not able to discover all existing relations a non-trivial approach was proposed to discover models and connections of the three main teachers’ age groups. The analysis of linked data enriches the retrieved information by getting more insight into the relationship between the teachers’ groups and the municipality of the school they teach. By describing education tendencies and by modelling the significant dependencies of the teachers’ age groups the proposed approach enables to reveal information useful for policy making.

Communications in Computer and Information Science book series (CCIS, volume 1341), Springer Nature