Business Insights Workbench – An Interactive Insights Discovery Solution

Autor:	Cheryl A. Kieliszewski, Bin He, Ying Chen, Amit Behal, Ana Lelescu, Jie Cui, Jeffrey Kreulen, James J. Rhodes, W. Scott Spangler
Rok vydání:	2007
Předmět:	Identification (information) Patent portfolio Knowledge management Business analytics business.industry Computer science Analytics Business intelligence Customer satisfaction Customer relationship management business Customer intelligence Data science
Zdroj:	Lecture Notes in Computer Science ISBN: 9783540733539 HCI (9)
Popis:	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.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::a3da4a713da081b816a01158a8d4fd4b https://doi.org/10.1007/978-3-540-73354-6_91 Zobrazit plný text záznamu