International Journal of Advanced Research in Computer Science and Software Engineering (IJARCSSE)
Educational data is incremental in nature. The large amount of data in educational institutions is generated in the form of personal information, academic data, placement data, fee payment data and much more. The problem is whenever there is a need to analyze or refer data for students' performance this turns out to be a cumbersome task as the data have been in different formats in different applications and some of the data is even maintained in hard copies over years. Educational institutions can apply data analytical techniques on the large amount of data that is generated within.