Business Insights Workbench – An Interactive Insights Discovery Solution

• Published in: Human Interface and the Management of Information. Interacting in Information Environments Vol. 4558; pp. 834 - 843
• Main Authors: Behal, Amit, Chen, Ying, Kieliszewski, Cheryl, Lelescu, Ana, He, Bin, Cui, Jie, Kreulen, Jeffrey, Rhodes, James, Spangler, W. Scott
• Format: Book Chapter
• Language: English
• Published: Germany Springer Berlin / Heidelberg 2007; Springer Berlin Heidelberg
• Series: Lecture Notes in Computer Science
• Subjects: Human Interaction; Information Mining; Visualization
• ISBN: 9783540733539; 3540733531
• ISSN: 0302-9743; 1611-3349
• DOI: 10.1007/978-3-540-73354-6_91

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.