Advanced Information and Knowledge Processing

Business Intelligence and Performance Management

Theory, Systems and Industrial Applications

Editors: Rausch, Peter, Sheta, Alaa F., Ayesh, Aladdin (Eds.)

  • State-of-the-art report on advances in Business Intelligence and Performance Management
  • Discusses both the theory and practice of Business Intelligence and Performance Management
  • Interdisciplinary analysis in one source
  • Addresses different management levels
  • Presents intelligent business applications from many different industries
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Buy this book

eBook $109.00
price for USA (gross)
  • ISBN 978-1-4471-4866-1
  • Digitally watermarked, DRM-free
  • Included format: EPUB, PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $139.00
price for USA
  • ISBN 978-1-4471-4865-4
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
About this book

During the 21st century business environments have become more complex and dynamic than ever before. Companies operate in a world of change influenced by globalisation, volatile markets, legal changes and technical progress. As a result, they have to handle growing volumes of data and therefore require fast storage, reliable data access, intelligent retrieval of information and automated decision-making mechanisms, all provided at the highest level of service quality. Successful enterprises are aware of these challenges and efficiently respond to the dynamic environment in which their business operates.

Business Intelligence (BI) and Performance Management (PM) offer solutions to these challenges and provide techniques to enable effective business change. The important aspects of both topics are discussed within this state-of-the-art volume. It covers the strategic support, business applications, methodologies and technologies from the field, and explores the benefits, issues and challenges of each. Issues are analysed from many different perspectives, ranging from strategic management to data technologies, and the different subjects are complimented and illustrated by numerous examples of industrial applications. Contributions are authored by leading academics and practitioners representing various universities, research centres and companies worldwide. Their experience covers multiple disciplines and industries, including finance, construction, logistics, and public services, amongst others.

Business Intelligence and Performance Management is a valuable source of reference for graduates approaching MSc or PhD programs and for professionals in industry researching in the fields of BI and PM for industrial application.

Table of contents (17 chapters)

  • Business Intelligence and Performance Management: Introduction

    Kemper, Hans-Georg (et al.)

    Pages 3-10

  • An Integrated Business Intelligence Framework

    Kemper, Hans-Georg (et al.)

    Pages 13-26

  • Linking the Operational, Tactical and Strategic Levels by Means of CPM: An Example in the Construction Industry

    Rausch, Peter (et al.)

    Pages 27-42

  • Adaptive Business Intelligence: The Integration of Data Mining and Systems Engineering into an Advanced Decision Support as an Integral Part of the Business Strategy

    Görgülü, Zafer-Korcan (et al.)

    Pages 43-58

  • How to Introduce KPIs and Scorecards in IT Management

    Kütz, Martin

    Pages 59-72

Buy this book

eBook $109.00
price for USA (gross)
  • ISBN 978-1-4471-4866-1
  • Digitally watermarked, DRM-free
  • Included format: EPUB, PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $139.00
price for USA
  • ISBN 978-1-4471-4865-4
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
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Bibliographic Information

Bibliographic Information
Book Title
Business Intelligence and Performance Management
Book Subtitle
Theory, Systems and Industrial Applications
Editors
  • Peter Rausch
  • Alaa F. Sheta
  • Aladdin Ayesh
Series Title
Advanced Information and Knowledge Processing
Copyright
2013
Publisher
Springer-Verlag London
Copyright Holder
Springer-Verlag London
eBook ISBN
978-1-4471-4866-1
DOI
10.1007/978-1-4471-4866-1
Hardcover ISBN
978-1-4471-4865-4
Series ISSN
1610-3947
Edition Number
1
Number of Pages
XIV, 269
Number of Illustrations and Tables
57 b/w illustrations
Topics