Classification of data in erp systems using decision tree algorithms

ERP systems has become indispensable for business intelligence, varying from small enterprises to multinational corporations. Its significance as a hub for enterprise data analysis will develop exponentially throughout the next years. In terms of the recent developments in machine learning and artificial intelligence, using intelligent classification techniques for data analysis will hereby be the supreme exciting area. As the extensive usage of ERP systems increase, great volume of business information gets generated and managing such large information automatically becomes a challenging task. The accurate classification of data also becomes an additional multifarious task. It is an essential part for operative ERP applications and classical machine learning problems. This paper presents an overview of machine learning principles using decision trees to classify data in ERP systems, which can greatly benefit legacy systems, not powered with machine learning tools.