Business Intelligence and Performance Management Theory, Systems and Industrial Applications /
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 requ...
| Συγγραφή απο Οργανισμό/Αρχή: | |
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| Άλλοι συγγραφείς: | , , |
| Μορφή: | Ηλεκτρονική πηγή Ηλ. βιβλίο |
| Γλώσσα: | English |
| Έκδοση: |
London :
Springer London : Imprint: Springer,
2013.
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| Σειρά: | Advanced Information and Knowledge Processing,
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| Θέματα: | |
| Διαθέσιμο Online: | Full Text via HEAL-Link |
Πίνακας περιεχομένων:
- 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.
