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Predictive Analytics in Business Analytics: Decision Tree

Author

Listed:
  • Chee Sun Lee

    (School of Management, Universiti Sains Malaysia)

  • Peck Yeng Sharon Cheang

    (School of Management, Universiti Sains Malaysia)

  • Massoud Moslehpour

    (Department of Business Administration, Asia University, Taichung, Taiwan)

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.

Suggested Citation

  • Chee Sun Lee & Peck Yeng Sharon Cheang & Massoud Moslehpour, 2022. "Predictive Analytics in Business Analytics: Decision Tree," Advances in Decision Sciences, Asia University, Taiwan, vol. 26(1), pages 1-30, March.
    • Handle: RePEc:aag:wpaper:v:26:y:2022:i:1:p:1-30
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    References listed on IDEAS

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    Cited by:

    1. Shiyu Liu & Ou Liu & Junyang Chen, 2023. "A Review on Business Analytics: Definitions, Techniques, Applications and Challenges," Mathematics, MDPI, vol. 11(4), pages 1-20, February.

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    More about this item

    Keywords

    Business Analytics (BA); Predictive Analytics (PA); Machine Learning (ML); Decision Tree (DT);
    All these keywords.

    JEL classification:

    • D70 - Microeconomics - - Analysis of Collective Decision-Making - - - General
    • D79 - Microeconomics - - Analysis of Collective Decision-Making - - - Other
    • D81 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Criteria for Decision-Making under Risk and Uncertainty

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