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Retail Business Members Consumption Data Analysis And Research

Posted on:2011-02-14Degree:MasterType:Thesis
Country:ChinaCandidate:F XieFull Text:PDF
GTID:2199360302993518Subject:Management Science and Engineering
Abstract/Summary:PDF Full Text Request
Information technology development and applications, such as barcode, POS machines, scanning devices, handheld devices (PDA) such as can be seen everywhere in the supermarket, which has accelerated the development and expansion of retail enterprises, but also plagued the retail industry to bring a topic ---- explosion of data, corresponding to the information poor.How to effectively use information technology to bring data from new business profit growth in the retail business urgent need to address the problem. Retail businesses face increasingly strong demand for information requires the establishment of a member can effectively analyze the data while the model used to guide marketing in order to help retail enterprises currently in customer management, diagnostic status and problems to help business decision makers in the adjustment of marketing strategies and tactics to guide the planning and execution of marketing personnel to complete and precise "one to one" marketing.With the influx of foreign-funded retail enterprises and the social productive forces and significantly improved products in short supply situation has changed, the product of excess time has come, consumer choice of product space is gradually increasing. For enterprises, its resources and capacities are limited, how to better allocation of limited resources in a reasonable and used to serve new growth enterprises and enterprises should consider.Enterprise information technology and enterprise data explosion caused by limited resources in today's retail world, companies need to face two major problems, enterprises are forced to face a rational allocation of resources, rational mining and data related issues. Membership of the implementation of the retail enterprise solution to the problem for the two opportunities, membership-based consumption data mining company limited resources can be allocated to give companies the most profitable members, while an explosion of enterprise data to solve the problems posed by.At present, China launched a membership-based retail company has a minority, however, is still attractive to both the enterprise customer's contribution to the effect of membership did not meet company expectations, reason is that companies do not give full play to the role of membership-based. Better use of enterprise data and information generated by a large number of members of the retail business goal.For retail businesses, a large number of customers, buying behavior of very large amounts of data, through the use of data mining technology can be reasonable on the retail customer base segmentation and commodity association analysis, targeted to specific customers a pair of one marketing, help to improve the relevance and effectiveness of marketing activities to help a good customer relationship management implementation.Based on consumer retail business members to analyze the data to achieve customer segmentation, feature extraction and segmentation results in order to achieve the purpose of improving the accuracy of marketing and strive to achieve to enhance the competitiveness of retail enterprises, enhance the brand, in order to bring new retail businesses profit growth point, in order to enhance the competitiveness of enterprises.
Keywords/Search Tags:cluster analysis of retail enterprise, customer segmentation, k-means
PDF Full Text Request
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