Open Daily: 10am - 10pm | Alley door pickup 10am - 7pm 3038 Hennepin Ave Minneapolis, MN
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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Business Intelligence and Performance Management: Theory, Systems and Industrial Applications

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

Rausch, Peter
Sheta, Alaa F.
Ayesh, Aladdin

Hardcover

Series: Advanced Information and Knowledge Processing

Business GeneralGeneral ComputersGeneral Mathematics

ISBN10: 1447148657
ISBN13: 9781447148654
Publisher: Springer
Published: Feb 28 2013
Pages: 269
Weight: 1.35
Height: 0.75 Width: 6.14 Depth: 9.21
Language: English

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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