Business Intelligence for the Real-Time Enterprise Second Internatio
This book constitutes the thoroughly refereed post-conference proceedings of the Second International Workshop on Business Intelligence for the Real-Time Enterprise, BIRTE 2008, held in Auckland, New Zealand, in August 2008, in conjunction with VLDB 2008,
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Malu Castellanos Umesh Dayal Timos Sellis (Eds.)
Business Intelligence for the Real-Time Enterprise Second International Workshop, BIRTE 2008 Auckland, New Zealand, August 24, 2008 Revised Selected Papers
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Volume Editors Malu Castellanos Umesh Dayal Hewlett-Packard 1501 Page Mill rd, MS-1142, Palo Alto, CA 94304, USA E-mail: {malu.castellanos,umeshwar.dayal}@hp.com Timos Sellis Institute for the Management of Information Systems 17 Mpakou str, Athens 11524, Greece E-mail: [email protected]
Library of Congress Control Number: 2009931688 ACM Computing Classification (1998): H.3, H.2, J.1 ISSN ISBN-10 ISBN-13
1865-1348 3-642-03421-7 Springer Berlin Heidelberg New York 978-3-642-03421-3 Springer Berlin Heidelberg New York
This work is subject to copyright. All rights are reserved, whether the whole or part of the material is concerned, specifically the rights of translation, reprinting, re-use of illustrations, recitation, broadcasting, reproduction on microfilms or in any other way, and storage in data banks. Duplication of this publication or parts thereof is permitted only under the provisions of the German Copyright Law of September 9, 1965, in its current version, and permission for use must always be obtained from Springer. Violations are liable to prosecution under the German Copyright Law. springer.com © Springer-Verlag Berlin Heidelberg 2009 Printed in Germany Typesetting: Camera-ready by author, data conversion by Scientific Publishing Services, Chennai, India Printed on acid-free paper SPIN: 12718801 06/3180 543210
Preface
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 critical. The traditional approach to reporting is no longer adequate, users now demand 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. 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 companies 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. From the capturing of real-time business performance data to the injection of actionable information back into bu
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