| Business Intelligence for the Real-Time Enterprises: First International Workshop, BIRTE 2006, Seoul, Korea, September 11, 2006, Revised Selected Pape 2007 Edition Contributor(s): Bussler, Christoph (Editor), Castellanos, Malu (Editor), Dayal, Umeshwar (Editor) |
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ISBN: 3540739491 ISBN-13: 9783540739494 Publisher: Springer OUR PRICE: $52.24 Product Type: Paperback - Other Formats Published: July 2007 Annotation: This book constitutes the thoroughly refereed post-proceedings of the First International Workshop on Business Intelligence for the Real-Time Enterprise, BIRTE 2006, held in Seoul, Korea in September 2006 in conjunction with VLDB 2006, the International Conference on Very Large Data Bases. The 12 revised full papers presented were carefully reviewed and selected for inclusion in the book. Focussing on different aspects in the lifecycle of business intelligence on very large enterprise-wide operational real-time data sets, the papers discuss the five major aspects of business intelligence for the real-time enterprise: models and concepts for real-time enterprise business intelligence, architectures for real-time enterprise business intelligence, uses cases of real-time enterprise business intelligence, applications of and technologies for the real-time enterprise business intelligence. |
| Additional Information |
| BISAC Categories: - Computers | Information Technology - Computers | System Administration - Storage & Retrieval - Computers | User Interfaces |
| Dewey: 004 |
| LCCN: 2007931598 |
| Series: Lecture Notes in Computer Science |
| Physical Information: 0.42" H x 6.26" W x 9.27" (1.63 lbs) 157 pages |
| Descriptions, Reviews, Etc. |
| Publisher Description: st The 1 Workshop on Business Intelligence for the Real-Time Enterprise (BIRTE nd 2006) was held on September 11, 2006 in conjunction with the 32 International Conference on Very Large Data Bases (VLDB 2006) in Seoul, Korea. The - location with VLDB is very important as the topic of the workshop was centered on different aspects in the lifecycle of business intelligence on very large enterprise-wide operational real-time data sets. In today's competitive and highly dynamic environment, analyzing data to und- stand how the business is performing, to predict outcomes and trends, and to improve the effectiveness of business processes underlying business operations has become critical. The traditional approach to reporting is not longer adequate; users now - mand easy-to-use intelligent platforms and applications capable of analyzing real-time business data to provide insight and actionable information at the right time. The end goal is to improve the enterprise performance by better and timelier decision making, enabled by the availability of up-to-date, high-quality information. |