Big Data Research ›› 2016, Vol. 2 ›› Issue (3): 96-105.doi: 10.11959/j.issn.2096-0271.2016034

• APPLICATION • Previous Articles     Next Articles

Key technical challenges in telecom big data

Jia ZENG1,Shikai LIU2,Mingxuan YUAN1   

  1. 1 Huawei Noah’s Ark Lab,Hong Kong 999077,China
    2 Huawei Big Data Product and Solution,Nanjing 210012,China
  • Online:2016-05-20 Published:2017-03-08

Abstract:

Big data has been improving steadily user experience and productivity.Telecom big data comes from the telecommunication platform composed of the BSS (business supporting system) and OSS (operation supporting system),which accumulate billions of customers’ 7-dimensional (7D) data including 1D for real ID,1D for customer behavior data,1D for social network,1D for time series and 3D for spatial information.Telecom big data platform can support modeling of 7D customer data,which enables three business upgrades,including customer insight,network insight and data openness.9 technical challenges of telecom big data analytics and possible solutions were described and discussed.

Key words: telecom big data, customer insight, network insight, data openness

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