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Business Intelligence and Performance Management

Theory, Systems and Industrial Applications

  • Peter Rausch
  • Alaa F. Sheta
  • Aladdin Ayesh

Part of the Advanced Information and Knowledge Processing book series (AI&KP)

Table of contents

  1. Front Matter
    Pages I-XIV
  2. Introduction

    1. Front Matter
      Pages 1-1
    2. Hans-Georg Kemper, Peter Rausch, Henning Baars
      Pages 3-10
  3. BI/PM in Business Analytics, Strategy and Management

  4. BI/PM Applications to Business Development

    1. Front Matter
      Pages 73-73
    2. Dieter Landes, Florian Otto, Sven Schumann, Frank Schlottke
      Pages 75-90
    3. Klaus Freyburger
      Pages 107-123
    4. Hans Georg Zimmermann, Ralph Grothmann, Hans-Jörg von Mettenheim
      Pages 125-141
  5. Methodologies

  6. Technologies

    1. Front Matter
      Pages 227-227
    2. Werner Schmidt
      Pages 229-242
    3. Frederic Stahl, Mohamed Medhat Gaber, Max Bramer
      Pages 243-259
  7. From Past to Present to Future

    1. Front Matter
      Pages 261-261
    2. W. H. Inmon
      Pages 263-269

About this book

Introduction

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.

Keywords

Business Analytics Business Intelligence Business Management Business Strategy Data Mining Information Systems Intelligent Analysis Performance Management

Editors and affiliations

  • Peter Rausch
    • 1
  • Alaa F. Sheta
    • 2
  • Aladdin Ayesh
    • 3
  1. 1.Department of Computer ScienceGeorg Simon Ohm Univ. of Applied ScienceNurembergGermany
  2. 2.Department of Computer ScienceTaif UniversityTaifSaudi Arabia
  3. 3.Faculty of TechnologyDe Montfort UniversityLeicesterUnited Kingdom

Bibliographic information

  • DOI https://doi.org/10.1007/978-1-4471-4866-1
  • Copyright Information Springer-Verlag London 2013
  • Publisher Name Springer, London
  • eBook Packages Computer Science
  • Print ISBN 978-1-4471-4865-4
  • Online ISBN 978-1-4471-4866-1
  • Series Print ISSN 1610-3947
  • Buy this book on publisher's site