• DocumentCode
    1781235
  • Title

    Improving customer centricity by End-to-End monitoring and big data analytics

  • Author

    Rugel, Stefan

  • Author_Institution
    Dr. Stefan Rugel Consulting, Munich, Germany
  • fYear
    2014
  • fDate
    12-15 Nov. 2014
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    In recent years, the monitoring of End-to-End protocols from inside the mobile data network has become a powerful tool to gain insight into subscriber specific information on usage behavior and quality of experience. With the advent of big data in mobile networks, the power of statistical data analysis can now be utilized in order to answer so far untreatable questions both in the area of network operations and customer experience management. In order to make full advantage of the capabilities, an open framework is needed which allows the flexible and problem-driven design of solutions. This implies monitoring products to change from out-of-the box solutions towards tools enabling problem-related measurement design which should be supported by appropriate standards which are seen to come in the context of network function virtualization.
  • Keywords
    Big Data; mobile ad hoc networks; mobile computing; quality of experience; big data analytics; customer centricity; customer experience management; end-to-end monitoring; end-to-end protocols; mobile data network; mobile networks; monitoring products; network function virtualization; out-of-the box solutions; problem-related measurement design; quality of experience; statistical data analysis; subscriber specific information; usage behavior; Mobile communication; Mobile computing; Monitoring; Predictive models; Protocols; Quality of service; Streaming media; Big Data; DPI; Mobile Network; QoE; QoS;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Euro Med Telco Conference (EMTC), 2014
  • Conference_Location
    Naples
  • Print_ISBN
    978-8-8872-3721-4
  • Type

    conf

  • DOI
    10.1109/EMTC.2014.6996622
  • Filename
    6996622