The Application of Data Mining to Customer Analysis of Imported Fine Furniture Company

• Main Authors: Wan-Chen Hsieh, 謝宛臻
• Other Authors: Hsin-Hao Huang
• Format: Others
• Language: zh-TW
• Published: 2015
• Online Access: http://ndltd.ncl.edu.tw/handle/jbgasc

碩士 === 國立虎尾科技大學 === 工業工程與管理研究所在職專班 === 103 === The competition in today’s competitive market has become more and fiercer due to the increasing customer awareness. Customers today tend to be more price sensitive, sophisticated and calculative in deciding the service providers. Therefore, more and more companies are paying attention to customer relationship management in order to remain good relationship with the customers and increase profits. . In recent years, data mining technique has been widely used in the field of customer relationship management. Hence, the objective of this study is to apply data mining to analyze the customers of an imported fine furniture company in Taichung, Taiwan. Through customer analysis the company will be able to gain more insights into current and prospective customers in order to develop an effective marketing strategy that increases company’s profits. Data analysis methods used in this study includes statistical analysis, link analysis, decision tree, and clustering.