Overview
Part of the book series: Lecture Notes in Business Information Processing (LNBIP, volume 27)
Included in the following conference series:
Conference proceedings info: BIRTE 2008.
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About this book
In todayís competitive and highly dynamic environment, analyzing data to understand how the business is performing, to predict outcomes and trends, and to improve the effectiveness of business processes underlying business operations has become cri- cal. The traditional approach to reporting is no longer adequate, users now demand easy-to-use intelligent platforms and applications capable of analyzing real-time bu- ness 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, - abled by the availability of up-to-date, high-quality information. As a response, the notion of "real-time enterprise" has emerged and is beginning to be recognized in the industry. Gartner defines it as “using up-to-date information, getting rid of delays, and using speed for competitive advantage is what the real-time enterprise is all about. . . Indeed, the goal of the real-time enterprise is to act on events as they happen. ” Although there has been progress in this direction and many com- nies are introducing products toward making this vision a reality, there is still a long way to go. In particular, the whole lifecycle of business intelligence requires new techniques and methodologies capable of dealing with the new requirements imposed by the real-time enterprise.
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Table of contents (9 papers)
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Front Matter
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Back Matter
Other volumes
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Business Intelligence for the Real-Time Enterprise
Editors and Affiliations
Bibliographic Information
Book Title: Business Intelligence for the Real-Time Enterprise
Book Subtitle: Second International Workshop, BIRTE 2008, Auckland, New Zealand, August 24, 2008, Revised Selected Papers
Editors: Malu Castellanos, Umesh Dayal, Timos Sellis
Series Title: Lecture Notes in Business Information Processing
DOI: https://doi.org/10.1007/978-3-642-03422-0
Publisher: Springer Berlin, Heidelberg
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer-Verlag Berlin Heidelberg 2009
Softcover ISBN: 978-3-642-03421-3Published: 04 August 2009
eBook ISBN: 978-3-642-03422-0Published: 03 August 2009
Series ISSN: 1865-1348
Series E-ISSN: 1865-1356
Edition Number: 1
Number of Pages: IX, 123
Topics: Data Structures and Information Theory, IT in Business, Data Mining and Knowledge Discovery, Information Storage and Retrieval, Computer Appl. in Administrative Data Processing, Database Management