Business Intelligence and Performance Management : Theory, Systems and Industrial Applications
Overview
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.
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Details
- ISBN-13: 9781447148654
- ISBN-10: 1447148657
- Publisher: Springer
- Publish Date: February 2013
- Dimensions: 9.21 x 6.14 x 0.75 inches
- Shipping Weight: 1.35 pounds
- Page Count: 269
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