Title
Predictive Analytics in Business Analytics:Decision Tree
Authors
Abstract
Business Analytics was defined as one of the most important aspects of combinations of skills, technologies and practices which scrutinize a corporation’s data and performance to transpire data-driven decision-making analytics for a corporation’s future direction and investment plans. In this paper, much of the focus will be given to predictive analytics, which is a branch of business analytics that scrutinize the application of input data, statistical combinations and intelligence machine learning statistics on predicting the plausibility of a particular event happening, forecast future trends or outcomes utilizing on-hand data with the final objective of improving the performance of the corporation. While it has been around for decades, predictive analytics has gained much attention in the late 20th century. This technique includes data mining and big data analytics. Last but not least, the decision tree methodology, a supervised simple classification tool for predictive analytics, is fully scrutinized below for applying predictive business analytics and decision tree in business applications.
Keywords
Business Analytics (BA), Predictive Analytics (PA), Machine Learning (ML), Decision Tree (DT)
Classification-JEL
D70, D79, D81
Pages
1-30