电信大数据关键技术挑战

Key technical challenges in telecom big data

大数据逐渐对用户体验和生产效率带来颠覆性影响。电信大数据来源于运营商通信网络平台的BSS和OSS,沉淀了海量用户7个维度的信息:1维用户真实ID、1维行为数据、1维社交数据、1维时间数据和3维空间数据。运营商构建电信大数据分析平台,通过对7维用户数据建模,可以实现3个数据业务方向的升级:用户洞察、网络洞察和数据开放。着重探讨电信大数据分析平台遇到的9个关键技术挑战和可能的技术突破方向。

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.