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{ "item_title" : "Business Intelligence and Performance Management", "item_author" : [" Peter Rausch", "Alaa F. Sheta", "Aladdin Ayesh "], "item_description" : "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.", "item_img_path" : "https://covers3.booksamillion.com/covers/bam/1/44/714/865/1447148657_b.jpg", "price_data" : { "retail_price" : "109.99", "online_price" : "109.99", "our_price" : "109.99", "club_price" : "109.99", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Business Intelligence and Performance Management|Peter Rausch

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

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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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