大数据:企业竞争情报的机遇、挑战及对策研究  

Big Data: Opportunities,Challenges and Strategies of Enterprise Competitive Intelligence

作　　者：吴金红[1] 张飞[1] 鞠秀芳[2] 

机构地区：[1]武汉纺织大学管理学院,武汉430073 [2]南京大学中国社会科学研究评价中心,南京210093

出　　处：《情报杂志》2013年第1期5-9,共5页Journal of Intelligence

基　　金：教育部人文社会科学青年基金项目"泛在信息环境下基于情境感知的自适应信息服务研究"(编号:11YJC870026);教育部人文社会科学青年基金"公民网络表达及政府回应机制研究"(编号:12YJC810035)

摘　　要："大数据"时代的来临,给各行各业带来了数据使用方式的根本性变革。文章首先阐述了大数据的内涵和特征,认为大数据有利于提高竞争情报的真实性、精准性以及实时性。在此基础上,详细分析了企业竞争情报面临的挑战,包括情报存储问题、情报分析问题、情报安全问题以及人才紧缺问题。最后,从情报意识、情报组织团队、竞争情报系统以及情报安全制度等几个方面探讨了大数据时代企业竞争情报工作的重点应对策略。The era of Big Data is coming, which will bring fimdamental changes of data usage in all industries. Firstly, the concept and characteristics of big data are described. It is presented that the Big Data can improve authenticity, accuracy and real-time of competitive intelligence. On the basis of discussion above, challenges that enterprise competitive intelligence must face are analyzed in detail, inclu- ding intelligence storage, intelligence analysis, intelligence security as well as the talent shortage issues. Finally, strategies that enterprise competitive intelligence organizations must focus on in the era of Big Data are discussed and presented from aspects of the intelligence awareness, intelligence organization team, competitive intelligence systems, as well as intelligence security.

关 键 词：大数据 竞争情报 信息分析 信息服务 

分 类 号：G350[文化科学—情报学]