Design of VIP Customer Database and Implementation of Data Management Platform

  • Rui Li
  • Miao-Jie Sang
  • Ke-Bin Jia
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 298)


Accurate and personalized analysis management for VIP Customer data are an important means for enterprises to make business decisions and win benefits. In this paper, take telecom industry as an example, SQL Server 2008 is applied to design the database according to the problem of traditional data analysis and management methods of VIP customers. Combined with Browser/Server structure, an intelligent VIP customer data management platform is designed and implemented, which achieves rapid extraction, effective analysis, early warning and graphic display for the data. In addition, it effectively guides customer managers to make business decisions, and provides managers with first-hand data on the customer managers’ performance evaluation. The actual operation in a large domestic telecom company proves that the platform is stable, efficient and safe.


VIP customer data database design B/S structure graphical display of data 


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  1. 1.
    Liao, P.-Y.: Optimal Pricing Strategy for Queuing Systems with Capacity Constraint Problem. In: Third International Conference on Intelligent Information Hiding and Multimedia Signal Processing (IIHMSP), pp. 561–564 (2007)Google Scholar
  2. 2.
    Li, R., Kong, X.: Practice of Data Mining in Modern Banking. In: The 2011 Asia-Pacific Youth Conference of Youth Communication and Technology, pp. 310–313. Atlantis Press, Hangzhou (2011)Google Scholar
  3. 3.
    Zhang, Y.: VIP Customer Segmentation Based on Data Mining in Mobile-communications Industry. In: 5th International Conference on Computer Science & Education (ICCSE 2010), pp. 156–159. sn, Hefei (2010)Google Scholar
  4. 4.
    Niu, Q.: Examine the Importance of Large Customers from a Strategic Height. Chinese Petroleum Corporation (6), 99 (2012)Google Scholar
  5. 5.
    Miaomiao, M.: The Research and Implementation of the Algorithms of Massive Data Processing in Data Mining. Xi’an University of Architecture and Technology, Shanxi (2012)Google Scholar
  6. 6.
    Qi, C.: The Strategies of Big Data Analysis, Application, Development and Management in Telecom Industry. Telecommunications Science (3), 12–16 (2013)Google Scholar
  7. 7.
    Dong, L., Tuo, C.: Design and Implementation of Telecommunications industry’s VIP Customer Relationship Management System. Guide of Sci-Tech Magazine (27), 190–191 (2013)Google Scholar
  8. 8.
    Wang, H., Gao, M.: Evaluation and Application of VIP Customer Managers’ Work in Telecommunications Industry. Computer CD Software and Applications (20), 138–140 (2013)Google Scholar
  9. 9.
    Chen, N.: Analysis of SQL Server 2008 Database Security. Computer Development & Applications 25(1), 64–66 (2012)Google Scholar
  10. 10.
    Zhuang, X.: Design and Implementation of Management System for Small and Medium Enterprises Based on B/S Structure. Ocean University of China, Qingdao (2010)Google Scholar
  11. 11.
    Liu, H., Chen, Z., Tu, G.: Database Indexing and Optimization. Modern Computers (12), 21–26 (2012)Google Scholar
  12. 12.
    Peng, P.: Library Management System Based on B/S Structure. Shandong University, Shandong (2013)Google Scholar
  13. 13.
    Zhang, Y.: Research and Implementation of Remote Monitoring System Based on Web BESIn Detector. Zhengzhou University, Henan (2011)Google Scholar

Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  • Rui Li
    • 1
  • Miao-Jie Sang
    • 1
  • Ke-Bin Jia
    • 1
  1. 1.Electronic Information & Control Engineering deptBeijing University of TechnologyBeijingChina

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