Automation of Data Storage Structures Intelligent Generation About the Activities of Educational Organizations

Abstract

This article is about automated algorithm that analyzes the structure of reporting documentation from local educational organizations that provide primary and secondary education. Many types of school’s documentation are not standardized. Because of that, there is a need to develop a solution that could match many kinds of table data from reporting documentation and create an appropriate database structure in third normal form (3NF) with a view to further analysis by local education department’s managers.