Business Intelligence and Performance Management

Part I. Introduction

1. Business Intelligence and Performance Management: Introduction
Hans-Georg Kemper, Peter Rausch, Henning Baars

Part II. BI/PM in Business Analytics, Strategy and Management

2. An Integrated Business Intelligence Framework
Hans-Georg Kemper, Henning Baars, Heiner Lasi

3. Linking the Operational, Tactical and Strategic Levels by Means of CPM: An Example in the Construction Industry
Peter Rausch, Michael Stumpf

4. Adaptive Business Intelligence: The Integration of Data Mining and Systems Engineering into an Advanced Decision Support as an Integral Part of the Business Strategy
Zafer-Korcan Görgülü, Stefan Pickl

5. How to Introduce KPIs and Scorecards in IT Management
Martin Kütz

Part III. BI/PM Applications to Business Development

6. Identifying Suspicious Activities in Company Networks Through Data Mining and Visualization
Dieter Landes, Florian Otto, Sven Schumann, Frank Schlottke

7. Exploring the Differences Between the Cross Industry Process for Data Mining and the National Intelligence Model Using a Self Organising Map Case study
Richard Adderley

8. Business Planning and Support by IT-Systems
Klaus Freyburger

9. Planning Purchase Decisions with Advanced Neural Networks
Hans Georg Zimmermann, Ralph Grothmann, Hans-Jörg Mettenheim

Part IV. Methodologies

10. Financial Time Series Processing: A Roadmap of Online and Offline Methods
Daniela Pohl, Abdelhamid Bouchachia

11. Data Supply for Planning and Budgeting Processes under Uncertainty by Means of Regression Analyses
Peter Rausch, Birgit Jehle

12. Minimizing the Total Cost in Production and Transportation Planning—A Fuzzy Approach
Heinrich J. Rommelfanger

13. Design and Automation for Manufacturing Processes: An Intelligent Business Modeling Using Adaptive Neuro-Fuzzy Inference Systems
Alaa F. Sheta, Malik Braik, Ertan Öznergiz, Aladdin Ayesh, Mehedi Masud

14. How to Measure Efficiency in IT Organizations
Martin Kütz

Part V. Technologies

15. Business Activity Monitoring (BAM)
Werner Schmidt

16. Scaling up Data Mining Techniques to Large Datasets Using Parallel and Distributed Processing
Frederic Stahl, Mohamed Medhat Gaber, Max Bramer

Part VI. From Past to Present to Future

17. Evolution of Business Intelligence
W. H. Inmon

Keywords: Computer Science, Information Systems Applications (incl. Internet), Business Information Systems, Applications of Mathematics