Abstract
Many data mining techniques which are non-visual methods have been proved their virtues on various customer data. However, there have been hardly applications of visualization methods onto the customer information in spite of their ability of quick and easy knowledge discovery. In this paper, we propose a data visualization method for customer information using a customer map. To develop the customer map, we integrate numerous customer data from various data sources, perform data analyses using data mining techniques and finally visualize the information derived by the former analyses. The customer map makes it possible to mange diverse and complex data sets under the unified goal of value creation through customers. It also affords the ability to make quick observation of current state and the change of customer distribution based on their information without preconception. We applied the customer map to the credit card company, and suggested managerial implications from the customer maps obtained from its data.
Keywords
- Customer Satisfaction
- Data Mining Technique
- Customer Information
- Customer Data
- Customer Target
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
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© 2005 Springer-Verlag Berlin Heidelberg
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Woo, J.Y., Bae, S.M., Pyon, C.U., Park, S.C. (2005). Customer Information Visualization via Customer Map. In: Zhou, L., Ooi, B.C., Meng, X. (eds) Database Systems for Advanced Applications. DASFAA 2005. Lecture Notes in Computer Science, vol 3453. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11408079_76
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DOI: https://doi.org/10.1007/11408079_76
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-25334-1
Online ISBN: 978-3-540-32005-0
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