大数据时代两款敏捷商业智能工具对比分析

基金项目: 中国铁路总公司科技研究开发计划课题（2015X003-F）；中国铁道科学研究院院基金重大项目（1551DZ8004）。

详细信息

Comparative analysis of two agile business intelligence tools in big data era

Research and Application Innovation Center for Big Data Technology in Railway, China Academy of Railway Sciences, Beijing 100081, China

摘要: 大数据时代的来临使得对数据的高速捕获和实时分析变得越来越重要。相对于传统商业智能软件体量大、对业务变化响应时间长、灵活性差的缺点，敏捷商业智能软件采用轻量建模方式迅速响应需求变更，用户可以通过简单的拖拉拽实现对业务的分析和展示。本文从使用角度对比分析了两款主流敏捷性商业智能软件Tableau和Qlik Sense。
- 商业智能 /
- 大数据 /
- 敏捷性BI /
- Tableau /
- Qlik Sense
Abstract: Along with the advent of the era of big data, the high-speed data capture and real-time analysis are becomingmore and more important. Compared with the traditional intelligent software of large size, long responding time for business changes and poor flexibility, lightweight modeling method was adopted by agile BI tools in order to adapt to changes in demand. Users could implement the analysis and display of business through a simple drag and drop. This article focused on the comparative analysis of two mainstream agile business intelligence software of Tableau and Qlik Sense.
- business intelligence /
- big data /
- agile BI /
- Tableau /
- Qlik Sense

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