Business insights workbench: an interactive insights discovery solution

  • Authors:
  • Amit Behal;Ying Chen;Cheryl Kieliszewski;Ana Lelescu;Bin He;Jie Cui;Jeffrey Kreulen;James Rhodes;W. Scott Spangler

  • Affiliations:
  • IBM Almaden Research Center, San Jose, California;IBM Almaden Research Center, San Jose, California;IBM Almaden Research Center, San Jose, California;IBM Almaden Research Center, San Jose, California;IBM Almaden Research Center, San Jose, California;IBM China Research Lab, Beijing, China;IBM Almaden Research Center, San Jose, California;IBM Almaden Research Center, San Jose, California;IBM Almaden Research Center, San Jose, California

  • Venue:
  • Proceedings of the 2007 conference on Human interface: Part II
  • Year:
  • 2007

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Abstract

Today's businesses increasingly rely on vast amount of information. Yet effective use of information is becoming more and more difficult. This paper describes a general purpose analytics solution, "Business Insights Workbench" (BIW), which embeds two major classes of information analytics techniques and a unique set of visualizations to mine the available information and uncover critical business insights and enhance business performance. The two major classes of analytics technologies include the "taxonomy" analysis and the "relationship" analysis to facilitate understanding and detection of hidden concepts and patterns buried in the information respectively. The BIW technologies have been successfully applied in many application domains, e.g., Customer Relationship Management (CRM) for customer satisfaction analysis, Intellectual Property (IP) for patent portfolio analysis and licensee identification, and Healthcare Life-sciences (HCLS) for facilitating drug discovery by identifying the relationships among chemicals, DNA, proteins, drugs, and diseases. We show some BIW sample applications in this paper.