大数据变革背景下的顾客网络满意度比较——基于OLAP可视化技术应用视角

发布时间：2018-03-07 02:26

本文选题：大数据　切入点：大数据变革　出处：《软科学》2015年05期 　论文类型：期刊论文

【摘要】：选取3家知名火锅连锁企业作为研究对象,根据mapreduce原理收集、处理样本数据;采用在线分析处理(OnLine Analytical Processing,OLAP)技术从时间、区域、满意度三个指标维度来实现大数据环境下顾客网络满意度的可视化。对3家企业顾客网络满意度评价进行比较分析,指出在不同时间、区域存在的差异。结果表明,OLAP技术能够以最直观的方式反应大数据环境下顾客网络满意度的差异及变化趋势,能够为企业网络口碑建设及网络营销策略的制定提供直接的参考依据。
[Abstract]:Three famous hot pot chain enterprises are selected as the research object. According to the principle of mapreduce, the sample data are collected and processed, and the online analysis and processing OnLine Analytical processing OLAP technology is used to process the data from time, area, and area. In order to realize the visualization of customer network satisfaction under big data environment, this paper makes a comparative analysis of customer network satisfaction evaluation of three enterprises, and points out that at different times, The results show that the OLAP technology can reflect the difference and trend of customer network satisfaction in big data environment in the most intuitionistic way. It can provide direct reference for the construction of network word-of-mouth and the formulation of network marketing strategy.
【作者单位】：中国科学院大学管理学院;
【基金】：国家自然科学基金项目(71302126)
【分类号】：F719.3;F274

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