Enabling Real-Time Business Intelligence 4th International Workshop,
This book constitutes the thoroughly refereed conference proceedings of the 4th International Workshop on Business Intelligence for the Real-Time Enterprise, BIRTE 2010, held in Singapore, in September 2010, in conjunction with VLDB 2010, the Internationa
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Malu Castellanos Umeshwar Dayal Volker Markl (Eds.)
Enabling Real-Time Business Intelligence 4th International Workshop, BIRTE 2010 Held at the 36th International Conference on Very Large Databases, VLDB 2010 Singapore, September 13, 2010 Revised Selected Papers
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Volume Editors Malu Castellanos Hewlett-Packard 1501 Page Mill Rd, MS-1142 Palo Alto, CA 94304, USA E-mail: [email protected] Umeshwar Dayal Hewlett-Packard 1501 Page Mill Rd, MS-1142 Palo Alto, CA 94304, USA E-mail: [email protected] Volker Markl Technische Universität Berlin Einsteinufer 17 10587 Berlin, Germany E-mail: [email protected]
ISSN 1865-1348 e-ISSN 1865-1356 e-ISBN 978-3-642-22970-1 ISBN 978-3-642-22969-5 DOI 10.1007/978-3-642-22970-1 Springer Heidelberg Dordrecht London New York Library of Congress Control Number: 2011933364 ACM Computing Classification (1998): H.3, J.1, H.2
© Springer-Verlag Berlin Heidelberg 2011 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. The use of general descriptive names, registered names, trademarks, etc. in this publication does not imply, even in the absence of a specific statement, that such names are exempt from the relevant protective laws and regulations and therefore free for general use. Typesetting: Camera-ready by author, data conversion by Scientific Publishing Services, Chennai, India Printed on acid-free paper Springer is part of Springer Science+Business Media (www.springer.com)
Preface
Business intelligence (BI) has evolved into a multi-billion dollar market over the last decade. Since the early beginnings of data warehousing, business needs have constantly posed new requirements on state-of-the-art business intelligence systems. In today’s competitive and highly dynamic environment, providing insight does not merely require analysis of the existing data. Deriving actionable intelligence demands the efficient processing of a vast amount of information in order to arrive at a timely representation of the state of an enterprise as well as of emerging trends. Prediction models must be used in order to assist with the derivation of actions from the current state of the enterprise and the market, taking into account the uncertainty of the prediction. Moreover, the increasing use of Twitter, blogs, and other media means that BI cannot restrict itself to only dealing with structured information. More and more information sources of varying kind have to be integrated, starting with the vast amount of textual information in corporate intranets and the W
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