Dissertation > Excellent graduate degree dissertation topics show

Research on High-end Mobile Users’ Package Adaptation in C Telecom Company

Author: WuYiFan
Tutor: ZhouYongWu;YangJun
School: South China University of Technology
Course: Industrial Engineering
Keywords: K-means clustering package value adaptation segmentation telecom
CLC: F626
Type: Master's thesis
Year: 2011
Downloads: 18
Quote: 0
Read: Download Dissertation


Today, the competition of telecommunications industry is increasingly intensified. The man who can grasp the needs of users will be able to stand on top of victory. However, for the diverse communication needs of user, business always feels difficult to provide the right product for their individual users. There is a large gap between the product and the needs. Therefore, that matter for communication operators how to design the right product which can meet the different segment market and how to correct the wrong product for every user.This paper focuses on the package adapter for the telecommunications industry as follows:First, the article introduces the related research at home and abroad, including customer segmentation, k-means clustering analysis, and package adapter. There is a find that the previous studies mainly concentrate on the field of user segments, but lack of research for the package match which is also very important to the business.Second, the paper quotes the case of C Company to illustrate adaptation methods. For this case, the paper describes the latest development of mobile business market of C Company and analyzes specially the problem of high-end user packages. There is a conclusion that lacking scientific and rational segment mechanism is the root cause of the problem at the final discussion of this chapter.Third, the paper makes the overall market segmentation basing on the users of C’s data. There are 3 steps for segmentation method. The first step is establishment of a market segmentation framework. The second step is handling and processing data. The third step is using of k-means cluster analysis to divide into different groups. Finally, C Company’s users are divided into 9 groups. The call demands of each groups is vary. Therefore, the work of segmentation is completed.Fourth, according to the 9 major sub-groups’call demands, the paper design the adaptive products and product tariff. Then, this chapter creatively designs the“tariff computing template”, which can make the package match works easy. Finally, taking the group2 for example, this section describes the whole process of this work.Finally, the paper by comparing the company’s mobile market business data before and after this project, analyzes and infers the promoting for company’s business.

Related Dissertations

  1. Research on Image Recognition Algorithm in the Forest Fire Prevention System,TP391.41
  2. The Research of the Text Extraction Method Based on Spectral Cut,TP391.41
  3. Application Research of Digital Image Processing on Container Inspection,TP274.4
  4. Study on the Design and Biomechanical Behaviors of Individualized Artificial Knee Joint,R318.1
  5. Based on statistical methods of magnetic resonance imaging of the human brain image segmentation and three-dimensional analysis of the data,R445.2
  6. The Kinematical Analysis on the Technical Characteristics of Chinese Elite Walkers Segment Distance,G821
  7. Road extraction algorithm based on region segmentation of remote sensing image,TP751
  8. Tobacco Diseases Auto-Recognition Research Based on Image Processing Technology,S435.72
  9. Citrus Image Segmentation Based on Genetic Algorithm,TP391.41
  10. The Methode of High Density Cells’ Tracking Based on Topological Constraint Combined with Hungarian Algorithm,Q25
  11. Research on Recognition of Fabric Weave Pattern Based on Space-Frequency Domain,TS101.923
  12. Research for Infrared Image Target Identification and Tracking Technology,TP391.41
  13. BF-FCM Clustering Algorithm and Its Application in the Image Segmentation,TP391.41
  14. Research on Clustering Algorithm Based on Mutation Particle Swarm Optimization,TP18
  15. Research on Fuzzy C-Mean Clustering Algorithm Based on Particle Swarm Optimization and Shuffled Frog Leaping Algorithm,TP18
  16. Research on Clustering Algorithm Based on Genetic Algorithm and Rough Set Theory,TP18
  17. Research on the Marketing Strategy of Huishan Dairy’s Entrance to Dalian,F426.82
  18. Vehicle detection based on machine vision and vehicle distance measuring method,TP274
  19. Tianjin Zhongxin Pharmaceutical Marketing Research and Planning Huoxiangzhengqi particles Listing,F426.72
  20. Shaanxi Blue Horse Beer Company fruity beer Marketing Strategy,F426.82
  21. Data warehouse technology in the banking customer management systems research and implementation,TP315

CLC: > Economic > Posts and Telecommunications economic > Telecommunications > Telecommunications business organization and management
© 2012 www.DissertationTopic.Net  Mobile