Business Intelligence and Performance Management: Theory, Systems and Industrial Applications

Preface.- Part I: Introduction .- Business Intelligence and Performance Management: An Introduction.- Part II: BI/PM in Business Analytics, Strategy and Management .- An Integrated Business Intelligence Framework: Closing the Gap between IT Support for Management and for Production.- Linking the Operational, Tactic and Strategic Level by Means of CPM: An Example of the Construction Industry.- Adaptive Business Intelligence: The Integration of Data Mining and Systems Engineering into an Advanced Decision Support as an Integral Part of the Business Strategy.- How to Introduce KPIs and Scorecards in IT Management.- Part III: BI/PM Applications to Business Development .- Data Mining Detection of Incidents in Networks.- Exploring the Differences Between the Cross Industry Process for Data Mining and the National Intelligence Model Using a Self Organizing Map Case Study.- Business Planning and Support by IT-Systems.- Planning Purchase Decisions with Advanced Neural Networks.- Part IV: Methodologies .- Financial Time Series Processing: A Roadmap of Online and Offline Methods.- Data Supply for Planning and Budgeting Processes under Uncertainty.- Minimizing the Total Cost in Production and Transportation Planning - A Fuzzy Approach.- Design and Automation for Manufacturing Processes: An Intelligent Business Modeling Using Adaptive Neuro-Fuzzy Inference Systems.- How to Measure Efficiency in IT Organizations.- Part V: Technologies .- Business Activity Monitoring (BAM).- Scaling up Data Mining Techniques to Large Datasets Using Parallel and Distributed Processing.- Part VI: From Past to Present to Future .- Evolution of Business Intelligence.