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通信运营商的互联网实时大数据营销体系研究 被引量:4

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摘要 本文借鉴互联网营销模式,以提升电子渠道的互联网营销能力为目标,提出构建电子渠道实时大数据营销支撑体系的思路,通过建立客户事件识别中心和在线运营平台,由客户事件识别中心实时处理用户上网、位置、通话、业务办理、访问渠道等实时大数据,输出符合事件营销规则的动态客户;并对动静态目标客户和营销活动、营销时机进行营销规则匹配,将满足当前营销规则的营销活动信息在用户访问电子渠道时,进行展示;当用户点击运营位后,将点击的结果回传到效果评估体系中,指导营销规则优化,从而形成完整闭环的自动化实时大数据营销体系,充分发挥电子渠道互联网化的在线运营特点,为运营商终端和流量营销发挥重要作用。
作者 陈涛
出处 《中国新通信》 2018年第16期30-32,共3页 China New Telecommunications
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  • 1Nature. Big Data [EB/OL]. [2012-10-02]. http,//www. nature, com/news/specials/bigdata/index, html.
  • 2Bryant R E, Katz R H, Lazowska E D. Big-Data computing : Creating revolutionary breakthroughs in commerce, science, and society [R]. [2012-10-02]. http:// www. cra. org/ccc/docs/init/Big_Data, pdf.
  • 3Science. Special online collection: Dealing with data [EB/OL]. [2012-10-02]. http://www, sciencemag, org/site/ special/data/, 2011.
  • 4Agrawal D, Bernstein P, Bertino E, et al. Challenges and opportunities with big data A community white paper developed by leading researchers across the United States [R/OL]. [2012-10-02]. http://cra, org/ccc/docs/init/bigdata whitepaper, pdf.
  • 5Manyika J, Chui M, Brown B, et al. Big data: The next frontier for innovation, competition, and productivity [R/OL]. [ 2012-10-02 ]. http://www, mekinsey, corn/ Insights]MGI[Research/Teehnology _ and _ Innovation]Big _ data The next frontier for innovation.
  • 6World Economic Forum. Big data, big impact: New possibilities for international development [R/OL]. [2012- 10-02]. http://www3, weforum, org/docs/WEF TC MFS BigDataBigImpact_Briefing 2012. pdf.
  • 7Big Data Across the Federal Government [EB/OL]. [2012-10-02]. http://www, whitehouse, gov/sites/default/ files/microsites/ostp/big_data fact sheet_final_ 1. pdf.
  • 8UN Global Pulse. Big Data for Development:Challenges Opportunities [R/OL]. [ 2012-10-02 ]. http://www. unglobalpulse, org/proj ects/BigDataforDevelopment.
  • 9Times N Y. The age of big data fEB/OLd. [2012-10 -02]. http://www, nytimes, com/2012/02/12/sunday review/big- datas-impact in-the-world, html?pagewanted=all.
  • 10Grobelnik M. Big-data computing: Creating revolutionary breakthroughs in commerce, science, and society [R/OL]. [2012-10 -02]. http://videolectures, net/cswc2012_grobelnik_ big_data/.

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