BI SIG: The Integration of Business Intelligence and Knowledge Management
Jeffrey Kreulen, Manager of Operations Technologies - IBM Almaden Research Center
The Integration of Business Intelligence and Knowledge Management
Enterprise executives understand that timely, accurate knowledge can mean improved business performance. Two technologies have been central in improving the quantitative and qualitative value of the knowledge available to decision makers: business intelligence and knowledge management. Business intelligence has applied the functionality, scalability, and reliability of modern database management systems to build ever-larger data warehouses, and to utilize data mining techniques to extract business advantage from the vast amount of available enterprise data. Knowledge management technologies, while less mature than business intelligence technologies, are now capable of combining today's content management systems and the Web with vastly improved searching and text mining capabilities to derive more value from the explosion of textual information. We believe that these systems will blend over time, borrowing techniques from each other and inspiring new approaches that can analyze data and text together, seamlessly. We call this blended technology BIKM.
In this talk, we describe some of the current business problems that require analysis of both text and data, and some of the technical challenges posed by these problems. We describe and demonstrate a particular approach based on an OLAP (on-line analytical processing) model enhanced with text analysis, and describe two tools that we have developed to explore this approach—eClassifier performs text analysis, and BIKM integrates data and text through an OLAP-style interaction model.
About the Presenter
Jeffrey T. Kreulen Ph.D.
Dr. Kreulen is Manager of Operations Technologies, Almaden Services Research at the IBM Almaden Research Center. He holds a B.S. degree in applied mathematics (computer science) from Carnegie-Mellon University, a M.S. degree in electrical engineering and a Ph.D. in computer engineering both from The Pennsylvania State University. Since joining IBM in 1992, he has held various lead technical and management positions in research and development of multiprocessor systems design and verification, operating systems, systems management, web-based service delivery, and integrated text and data analysis.
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