This paper will evaluate data mining tools for competitive intelligence and technology. Data analyzers i.e. Thomson and OmniViz are the tools for completing diversified and sophisticated mathematical analyses of data. AnaVist and Aureka are considerable for modest visualization of statistics and itoplistsi is used for creating maps that are stylish. Novel features of OmniViz during the comparison of other tested tools are used for visualizing clustered data from difference viewpoints, which makes it possible to assess the attributes using patent map animation. The Thomson data analyzer provides effective tools that compare various subsets for data, such as the identification of unique attribute values. In citation assessments, Aureka is used as well as in illustrative patent maps. AnaVist is the best in retrieving basis statistics smoothly and quickly. The findings from four tools were similar, despite the fact that various databases for data retrieving were utilized. Superior investors and assignees list were the same, since they were an annual trend for geographical and technological business segments. Nonetheless, the conclusions from the findings were that business decisions are made using their tools to enhance competitive intelligence.
Keywords
Thomson, Omniviz, Anavist, Aureka, Business Intelligence, Patent Documents, Data Mining.
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Madeleine Wang Yue Dong
Madeleine Wang Yue Dong
School of Design, University of Washington, Seattle, WA.
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Madeleine Wang Yue Dong, “Analysis on Data Mining Tools Used in Business Intelligence and Inventions”, Journal of Computing and Natural Science, vol.1, no.2, pp. 057-068, April 2021. doi: 10.53759/181X/JCNS202101010.
