Competitive intelligence is the action of defining, gathering, analyzing, and distributing intelligence about products, customers, competitors, and any aspect of the environment needed to support executives and managers making strategic decisions for an organization. Traditionally, competitive intelligence is detected and analyzed mainly by experts/managers based on the intra-organi-zational data/information. However, external big data (e.g. query log, social interaction, blog/twitter, online review, helpfulness votes, open media, etc.) becomes a more and more important source for conducting online competitive intelligence analysis, e.g., dynamic competitor identification and competitiveness degrees measuring with Google search query log, customer insights detection from online reviews, incremental competitive intelligence digests extraction with Internet news. Moreover, due to the 4V characteristics of the big data source, some intelligent and automatic methods should be developed to overcome the shortcomings of traditional methods conducted by human experts. In this talk, I will briefly introduce several related novel methods.
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