Business Insights Workbench – An Interactive Insights Discovery Solution View Full Text


Ontology type: schema:Chapter     


Chapter Info

DATE

2007

AUTHORS

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

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. More... »

PAGES

834-843

References to SciGraph publications

  • 2003-09. Feature Weighting in k-Means Clustering in MACHINE LEARNING
  • Book

    TITLE

    Human Interface and the Management of Information. Interacting in Information Environments

    ISBN

    978-3-540-73353-9

    Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1007/978-3-540-73354-6_91

    DOI

    http://dx.doi.org/10.1007/978-3-540-73354-6_91

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1052987470


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