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Data Mining Technology and Sales Productivity Analysis in Malaysia

Data Mining Technology and Sales Productivity Analysis in Malaysia
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Author(s): Jacquline Tham (Management and Science University, Malaysia), S. M. Ferdous Azam (Management and Science University, Malaysia)and Ali Khatibi (Management and Science University, Malaysia)
Copyright: 2021
Pages: 13
Source title: Handbook of Research on Future Opportunities for Technology Management Education
Source Author(s)/Editor(s): Basheer Ahmed Khan (Alpherg Global Business Management Consultants, UK), Matthew H. S. Kuofie (Saint Leo University, USA)and Sonika Suman (Savitribai Phule Pune University (SPPU), India)
DOI: 10.4018/978-1-7998-8327-2.ch018

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Abstract

This chapter focuses on studying data mining technologies and the predictive analysis of product sales for Amway (M). Several parts have been adopted to outline the rationale for the research, which consisted primarily of reading books, journals, and internet articles on data mining and conducting interviews and observations to collect Amway data (M). Following data gathering, a model was constructed to understand the value of results achieved by integrating automation, visual representation, and predictive analysis into business operations. Finally, the author gained a great deal of knowledge about this project once it was completed. The completion of this project was, therefore, a very satisfying and fruitful journey. Generally, to have a better impact, this entire project needs to be polished.

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