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

 

 

1 引言

大數(shù)據(jù)的3V特性（volume、variety、velocity）正在逐步改善用戶體驗(yàn)和生產(chǎn)效率。電信運(yùn)營商提供基礎(chǔ)通信平臺連接每一位用戶。每天數(shù)以億計(jì)的用戶在管道中留下的通信行為數(shù)據(jù)構(gòu)成電信大數(shù)據(jù)。如何挖掘大數(shù)據(jù)來智能支撐運(yùn)營商各項(xiàng)業(yè)務(wù)并進(jìn)行業(yè)務(wù)轉(zhuǎn)型，是一個(gè)需要深入思考的問題。首要任務(wù)就是匯集豐富的用戶行為數(shù)據(jù)，存儲在統(tǒng)一的電信大數(shù)據(jù)分析平臺，并根據(jù)業(yè)務(wù)需求靈活部署統(tǒng)計(jì)、規(guī)則和預(yù)測算法，在不改變業(yè)務(wù)人員使用習(xí)慣的情況下做到及時(shí)、多屏、準(zhǔn)確、直白、客觀地沉淀用戶數(shù)據(jù)（例如不同時(shí)間跨度的知識標(biāo)簽），幫助

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