Business Intelligence for the Real-Time Enterprises

1. Front Matter

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2. Practical Considerations for Real-Time Business Intelligence

   • Donovan A. Schneider

   Pages 1-3

3. What Can Hierarchies Do for Data Streams?

   • Xuepeng Yin, Torben Bach Pedersen

   Pages 4-19

4. Leveraging Distributed Publish/Subscribe Systems for Scalable Stream Query Processing

   • Yongluan Zhou, Kian-Lee Tan, Feng Yu

   Pages 20-33

5. Transaction Reordering and Grouping for Continuous Data Loading

   • Gang Luo, Jeffrey F. Naughton, Curt J. Ellmann, Michael W. Watzke

   Pages 34-49

6. A Scalable Heterogeneous Solution for Massive Data Collection and Database Loading

   • Uri Shani, Aviad Sela, Alex Akilov, Inna Skarbovski, David Berk

   Pages 50-62

7. Two-Phase Data Warehouse Optimized for Data Mining

   • Balázs Rácz, Csaba István Sidló, András Lukács, András A. Benczúr

   Pages 63-76

8. Document-Centric OLAP in the Schema-Chaos World

   • Yannis Sismanis, Berthold Reinwald, Hamid Pirahesh

   Pages 77-91

9. Callisto: Mergers Without Pain

   • Huong Morris, Hui Liao, Sriram Padmanabhan, Sriram Srinivasan, Eugene Kawamoto, Phay Lau et al.

   Pages 92-105

10. Real-Time Acquisition of Buyer Behaviour Data – The Smart Shop Floor Scenario

    • Bo Yuan, Maria Orlowska, Shazia Sadiq

    Pages 106-117

11. Business Process Learning for Real Time Enterprises

    • Rodion Podorozhny, Anne Ngu, Dimitrios Georgakopoulos

    Pages 118-132

12. An Integrated Approach to Process-Driven Business Performance Monitoring and Analysis for Real-Time Enterprises

    • Jonghun Park, Cheolkyu Jee, Kwanho Kim, Seung-Kyun Han, Duksoon Im, Wan Lee et al.

    Pages 133-142

13. Quality Contracts for Real-Time Enterprises

    • Alexandros Labrinidis, Huiming Qu, Jie Xu

    Pages 143-156

14. Back Matter

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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.

• 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

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