安徽联通企业级大数据平台构建及应用实践

吴涛; 刘韬; 王斌

doi:10.11959/j.issn.1000-0801.2018036

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安徽联通企业级大数据平台构建及应用实践

运营商大数据专栏 | 更新时间：2024-06-05

- 安徽联通企业级大数据平台构建及应用实践
- Construction and application of Anhui Unicom enterprise big data platform
- 电信科学 2018年34卷第1期页码：135-147
- 作者机构：
- 作者简介：
  
  [ "吴涛（1973-），男，中国联合网络通信有限公司安徽分公司副总经理、大数据项目总负责人、数据分析顾问，主要研究方向为数据分析与用户感知提升、精准化营销分析与数据挖掘、用户消费行为。" ]
  [ "刘韬（1976-），男，中国联合网络通信有限公司安徽分公司计划建设与资产运营部数据分析师，主要研究方向为大数据平台架构及搭建、B/O域基础数据融合、数据分析、行业大数据应用。" ]
  [ "王斌（1975-），男，中国联合网络通信有限公司安徽分公司计划建设与资产运营部副总经理，主要负责大数据平台架构、数据分析顾问、用户消费行为数据分析、行业大数据应用研究等工作。" ]
- 基金信息：
- DOI：10.11959/j.issn.1000-0801.2018036
  中图分类号： TP319
- 网络出版日期：2018-01，
  
  纸质出版日期：2018-01-20
- 稿件说明：
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吴涛, 刘韬, 王斌. 安徽联通企业级大数据平台构建及应用实践[J]. 电信科学, 2018,34(1):135-147.

Tao WU, Tao LIU, Bin WANG. Construction and application of Anhui Unicom enterprise big data platform[J]. Telecommunications science, 2018, 34(1): 135-147.
吴涛, 刘韬, 王斌. 安徽联通企业级大数据平台构建及应用实践[J]. 电信科学, 2018,34(1):135-147. DOI： 10.11959/j.issn.1000-0801.2018036.

Tao WU, Tao LIU, Bin WANG. Construction and application of Anhui Unicom enterprise big data platform[J]. Telecommunications science, 2018, 34(1): 135-147. DOI： 10.11959/j.issn.1000-0801.2018036.

摘要

完整地总结了中国联合网络通信有限公司安徽分公司建设大数据面对的挑战和机遇以及通过快速构建B/O域融合的智慧运营平台累积的跨域数据多维度、多层次融合治理经验。此外，安徽联通还对用户离网预测进行了深入研究，通过大数据平台构建离网预测模型，实现离网预测模型查准率90%、查全率9%的突破，并通过提升用户感知等应用深入推广大数据在各领域的融合应用，对内提升了运营效率，实现了NOC（network operations center，网络运维中心）向SOC（service operations center，业务运营中心）的转型。

Abstract

The challenges and opportunities faced by Anhui Unicom of big data construction

and the experience of Anhui Unicom rapidly constructing B+O convergent smart operation platform which realized multi-dimensional and multi-level fusion management of cross-domain platform were summarized.In addition

the customer off-grid prediction was also deeply studied by Anhui Unicom.Achieving the off-grid prediction model through the big data platform which made the precision ratio get 90% and the recall ration get 9%.On the other hand

the big data platform has been popularized to other departments by integrated applications

such as

user awareness enhancement etc.Internal operation efficiency was improved and NOC (network operations center) was transformed to SOC (service operations center).

关键词

Keywords

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