| Summary: | 碩士 === 萬能科技大學 === 經營管理研究所在職專班 === 103 === Taiwan's convenience store density is highest in the world, how to find a strategyto improve the rate of consumer visitors heconvenience store has become the urgentneeds of each store. In this study, the use of business intelligence (BI) and data mining methods to find a onvenience store and find a specific service ratio rule these specific services to facilitate the opening of a new convenience store to choose a specific service settings. The study was a secondary analysis of data found within Taoyuan City, 7-ELEVEN convenience stores settings specific to ATM service, seats, four metropolitan network in rank are more than 80%, setting a seating area in the East Area and Guanyin area more than 100%, which is three specific services have universal phenomenon. From the results of this study can be found in the analysis, join the city rank, district condition factor, more in-depth exploration of the rules can be a convenience store specific services provided, these rules can exhibit differences in urban exact rank and different administrative section.
|
|---|
