Association analysis of customer services from the enterprise customer management system

  • Authors:

  • Sung-Ju Kim;Dong-Sik Yun;Byung-Soo Chang

  • Affiliations:

  • KT network technology laboratory, Daejeon, Korea;KT network technology laboratory, Daejeon, Korea;KT network technology laboratory, Daejeon, Korea

  • Venue:
  • ICDM'06 Proceedings of the 6th Industrial Conference on Data Mining conference on Advances in Data Mining: applications in Medicine, Web Mining, Marketing, Image and Signal Mining
  • Year:
  • 2006

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Abstract

The communications market has seen rising competition among businesses. While securing new customers is still important, it is more crucial to maintain and manage existing customers by providing optimized service and efficient marketing strategies for each customer in order to preserve existing customers from business rivals and ultimately maximize corporate sales. This thesis investigates how to obtain useful methodologies for customer management by applying the technological concepts of data-mining and association analysis to KT's secure customer data.