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
大数据的3V特性（volume、variety、velocity）正在逐步改善用户体验和生产效率。电信运营商提供基础通信平台连接每一位用户。每天数以亿计的用户在管道中留下的通信行为数据构成电信大数据。如何挖掘大数据来智能支撑运营商各项业务并进行业务转型，是一个需要深入思考的问题。首要任务就是汇集丰富的用户行为数据，存储在统一的电信大数据分析平台，并根据业务需求灵活部署统计、规则和预测算法，在不改变业务人员使用习惯的情况下做到及时、多屏、准确、直白、客观地沉淀用户数据（例如不同时间跨度的知识标签），帮助
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