Applying Data Mining Algorithms on Demographic Data with Power BI

Abstract

Analyzing business results along with demographic data is a useful approach to discovering important summaries, hidden dependencies, and predictions to support making successful business decisions. This paper examines the features of Power BI for performing clustering; correlation analysis; descriptive analysis by using decision tree. Illustrative examples about data, available on the website of the National Statistical Institute in Bulgaria are presented. The results confirm the benefits of applying these analyzes to demographic data.