大数据环境下的智库情报分析研究

Research on Intelligence Analysis of Think Tank under Big Data Environment

[目的/意义]智库作为依存于信息的情报服务机构,在大数据时代迎来了新挑战,探讨智库在信息分析过程中如何通过创新顺应大数据趋势,具有一定的借鉴意义。[方法/过程]通过对文献及国际权威智库官网的调研,基于大数据的特点,厘清大数据与智库情报分析之间的关系,并从理念、工具及方法三个方面,探讨大数据时代对智库情报分析的影响及要求。[结果/结论]大数据时代,智库情报分析员应更新信息分析理念,使用的工具和方法应能够及时采集和快速预处理大规模数据,同时满足情报分析员高效分析和科学决策的要求。

[Purpose/significance] As intelligence service organizations which heavily rely on information,think tanks are facing new challenges in the era of big data. So it can provide references to other studies by discussing how think tanks adapt to the big data trend in the process of information analysis by innovation. [Method/process]By the investigation of literatures as well as official websites of international famous think tanks,this paper first clarifies the relations between big data and intelligence analysis of think tanks based on the characteristics of big data,and then discusses the influence and requirements of big data era on the construction of think tanks from ideas,tools and methods. [Result/conclusion] In the era of big data,intelligence analysts of think tanks should update ideas of information analysis,and use tools and methods that can collect and quickly preprocess large-scale data,thus meeting the requirements for efficient analysis and scientific decision-making.