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Business Intelligence for the Real-Time Enterprises : First International Workshop, BIRTE 2006, Seoul, Korea, September 11, 2006, Revised Selected Papers / edited by Christoph Bussler, Malu Castellanos, Umeshwar Dayal, Sham Navathe.

SpringerLink Books Lecture Notes In Computer Science (LNCS) (1997-2024) Available online

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Format:
Book
Contributor:
Bussler, Christoph, editor.
Castellanos, Malu, editor.
Dayal, Umeshwar, editor.
Navathe, Sham, editor.
SpringerLink (Online service)
Series:
Computer Science (Springer-11645)
LNCS sublibrary. Information systems and applications, incl. Internet/Web, and HCI ; SL 3, 4365.
Information Systems and Applications, incl. Internet/Web, and HCI ; 4365
Language:
English
Subjects (All):
Application software.
Information storage and retrieval.
User interfaces (Computer systems).
Computers and civilization.
Management information systems.
Computer science.
Information technology.
Business--Data processing.
Business.
Information Systems Applications (incl. Internet).
Information Storage and Retrieval.
User Interfaces and Human Computer Interaction.
Computers and Society.
Management of Computing and Information Systems.
IT in Business.
Local Subjects:
Information Systems Applications (incl. Internet).
Information Storage and Retrieval.
User Interfaces and Human Computer Interaction.
Computers and Society.
Management of Computing and Information Systems.
IT in Business.
Physical Description:
1 online resource (IX, 157 pages).
Edition:
First edition 2007.
Contained In:
Springer eBooks
Place of Publication:
Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2007.
System Details:
text file PDF
Summary:
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.
Contents:
Practical Considerations for Real-Time Business Intelligence
What Can Hierarchies Do for Data Streams?
Leveraging Distributed Publish/Subscribe Systems for Scalable Stream Query Processing
Transaction Reordering and Grouping for Continuous Data Loading
A Scalable Heterogeneous Solution for Massive Data Collection and Database Loading
Two-Phase Data Warehouse Optimized for Data Mining
Document-Centric OLAP in the Schema-Chaos World
Callisto: Mergers Without Pain
Real-Time Acquisition of Buyer Behaviour Data - The Smart Shop Floor Scenario
Business Process Learning for Real Time Enterprises
An Integrated Approach to Process-Driven Business Performance Monitoring and Analysis for Real-Time Enterprises
Quality Contracts for Real-Time Enterprises.
Other Format:
Printed edition:
ISBN:
978-3-540-73950-0
9783540739500
Access Restriction:
Restricted for use by site license.

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