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Business Intelligence for the Real-Time Enterprise

Second International Workshop, BIRTE 2008, Auckland, New Zealand, August 24, 2008, Revised Selected Papers

  • Conference proceedings
  • © 2009

Overview

Editors:
  1. Malu Castellanos

    1. Hewlett-Packard, Palo Alto, USA

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    You can also search for this editor in PubMed   Google Scholar

  2. Umesh Dayal

    1. Hewlett-Packard, Palo Alto, USA

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    You can also search for this editor in PubMed   Google Scholar

  3. Timos Sellis

    1. Institute for the Management of Information Systems, Athens, Greece

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Part of the book series: Lecture Notes in Business Information Processing (LNBIP, volume 27)

Included in the following conference series:

Conference proceedings info: BIRTE 2008.

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Table of contents (9 papers)

  1. Front Matter

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  2. Situational Business Intelligence

    • Alexander Löser, Fabian Hueske, Volker Markl
    Pages 1-11

  3. On Solving Efficiently the View Selection Problem under Bag-Semantics

    • Foto Afrati, Matthew Damigos, Manolis Gergatsoulis
    Pages 12-28

  4. QoS-Aware Publish-Subscribe Service for Real-Time Data Acquisition

    • Xinjie Lu, Xin Li, Tian Yang, Zaifei Liao, Wei Liu, Hongan Wang
    Pages 29-44

  5. A Near Real-Time Reporting System for Enterprises Using JavaScript Instrumentation with Inter-colo Event Replication

    • Timothy Tully
    Pages 45-60

  6. A Hybrid Row-Column OLTP Database Architecture for Operational Reporting

    • Jan Schaffner, Anja Bog, Jens Krüger, Alexander Zeier
    Pages 61-74

  7. The Reality of Real-Time Business Intelligence

    • Divyakant Agrawal
    Pages 75-88

  8. Beyond Conventional Data Warehousing — Massively Parallel Data Processing with Greenplum Database

    • Florian M. Waas
    Pages 89-96

  9. Scalable Data-Intensive Analytics

    • Meichun Hsu, Qiming Chen
    Pages 97-107

  10. Simplifying Information Integration: Object-Based Flow-of-Mappings Framework for Integration

    • Bogdan Alexe, Michael Gubanov, Mauricio A. Hernández, Howard Ho, Jen-Wei Huang, Yannis Katsis et al.
    Pages 108-121

  11. Back Matter

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Other volumes

  1. Business Intelligence for the Real-Time Enterprise

Keywords

About this book

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 cri- cal. The traditional approach to reporting is no longer adequate, users now demand easy-to-use intelligent platforms and applications capable of analyzing real-time bu- ness 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, - abled 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 com- nies 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.

Editors and Affiliations

  • Hewlett-Packard, Palo Alto, USA

    Malu Castellanos, Umesh Dayal

  • Institute for the Management of Information Systems, Athens, Greece

    Timos Sellis

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