数据挖掘在药品零售经营决策支持中的应用

Application of Data Mining in Decision Support of Drug Retailing

目的:为优化药品零售营销策略、提高销售量提供支持。方法:建立Microsoft SQL Server 2005数据库,采用关联规则法,以苏州某零售药店药品日常销售数据为例对数据挖掘方法进行相关分析。结果与结论:在药品零售经营数据挖掘中分为药店销售数据集市的构建、数据预处理、数据挖掘过程、挖掘结果分析4项,在零售药店应用后可分析顾客的购买趋势、挖掘潜在客户、提高药品销售额。

OBJECTIVE： To offer support for optimizing marketing strategy and increasing consumption in drug retailing. METHODS： Microsoft SQL Server 2005 database was established, the data mining method was subjected to a correlation analysis using association rules with the daily sales data in a retail drugstore in Jiangsu as an example. RESULTS ＆ CONCLUSIONS： The data mining of drug retailing consists of 4 items： construction of drug sales data mart, data pretreatment, data mining, and analysis of mining results. The application of the data mining in retail drugstore can help analyze the purchase tendency of customers, find out potential customers and increase sales volume.