Pharmaceutical Companies Use Data Mining Technology to Enhance Health Care Drug Sales

• Main Authors: HSU,CHING-HUI, 許清輝
• Other Authors: CHEN,JEANG-KUO
• Format: Others
• Language: zh-TW
• Published: 2016
• Online Access: http://ndltd.ncl.edu.tw/handle/7z2b2g

碩士 === 朝陽科技大學 === 資訊管理系 === 105 === Due to the factors of NHI drug price cut year after year, manufacturing equipment investment, personnel salary increment, and increased competition in the pharmaceutical, Taiwan's various pharmaceuticals need to increase the sales of health care medicines. Faced with an increasingly competitive environment of health care drug sales, we need to understand the considered factors of customer purchasing medicines if we want customer spending money to buy medicines. After interviewing with some senior business managers of pharmaceutical factories in the middle area of Taiwan, we found that the main factors of pathway customers to purchase medicines are drug price, quantity, and total amount of sales order. With these factors, this research uses fuzzy attribution function of data mining technique to identify rules of customer buying drugs. Then applying association rules analysis to mine the associated rules table of customer purchasing drugs and influence factors. This associated rules table can help drug salesperson to find out the combination of valuable healthcare drugs for recommending to customers to increase drug sales. Finally, with the customer purchase data of a pharmaceutical factory in the middle area of Taiwan as an example, we physically mine out some combinations of valuable healthcare drugs to promote the performance of drug sales.