Advertisement

Business Intelligence for the Real-Time Enterprises

First International Workshop, BIRTE 2006, Seoul, Korea, September 11, 2006, Revised Selected Papers

  • Editors
  • Christoph Bussler
  • Malu Castellanos
  • Umesh Dayal
  • Sham Navathe
Conference proceedings BIRTE 2006

Part of the Lecture Notes in Computer Science book series (LNCS, volume 4365)

Table of contents

  1. Front Matter
  2. Xuepeng Yin, Torben Bach Pedersen
    Pages 4-19
  3. Gang Luo, Jeffrey F. Naughton, Curt J. Ellmann, Michael W. Watzke
    Pages 34-49
  4. Uri Shani, Aviad Sela, Alex Akilov, Inna Skarbovski, David Berk
    Pages 50-62
  5. Balázs Rácz, Csaba István Sidló, András Lukács, András A. Benczúr
    Pages 63-76
  6. Yannis Sismanis, Berthold Reinwald, Hamid Pirahesh
    Pages 77-91
  7. Huong Morris, Hui Liao, Sriram Padmanabhan, Sriram Srinivasan, Eugene Kawamoto, Phay Lau et al.
    Pages 92-105
  8. Bo Yuan, Maria Orlowska, Shazia Sadiq
    Pages 106-117
  9. Rodion Podorozhny, Anne Ngu, Dimitrios Georgakopoulos
    Pages 118-132
  10. Jonghun Park, Cheolkyu Jee, Kwanho Kim, Seung-Kyun Han, Duksoon Im, Wan Lee et al.
    Pages 133-142
  11. Alexandros Labrinidis, Huiming Qu, Jie Xu
    Pages 143-156
  12. Back Matter

About these proceedings

Introduction

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.

Keywords

Business Business-Intelligence OLAP On-Line Analytical Processing architecture business intelligence business objects integration business process business process engineering business process management business process modeling business rule specification data warehouse dynamic workflow modeling learning

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-540-73950-0
  • Copyright Information Springer-Verlag Berlin Heidelberg 2007
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Computer Science
  • Print ISBN 978-3-540-73949-4
  • Online ISBN 978-3-540-73950-0
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • Buy this book on publisher's site