E-book
Business Intelligence and Performance Management [electronic resource] : Theory, Systems and Industrial Applications / edited by Peter Rausch, Alaa F. Sheta, Aladdin Ayesh.
Record details
- ISBN: 9781447148661
- Physical Description: XIV, 269 p. 85 illus. online resource.
- Publisher: London : Springer London : 2013.
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| Subject: | Computer science. Mathematics. Management information systems. Computer Science. Information Systems Applications (incl. Internet). Business Information Systems. Applications of Mathematics. |
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Electronic resources
| 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 â 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. |
