Ebook: Business Intelligence and Performance Management: Theory, Systems and Industrial Applications
Author: Hans-Georg Kemper Peter Rausch Henning Baars (auth.) Peter Rausch Alaa F. Sheta Aladdin Ayesh (eds.)
- Tags: Information Systems Applications (incl. Internet), Business Information Systems, Applications of Mathematics
- Series: Advanced Information and Knowledge Processing
- Year: 2013
- Publisher: Springer-Verlag London
- Edition: 1
- Language: English
- pdf
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 require fast storage, reliable data access, intelligent retrieval of information and automated decision-making mechanisms, all provided at the highest level of service quality. Successful enterprises are aware of these challenges and efficiently respond to the dynamic environment in which their business operates.
Business Intelligence (BI) and Performance Management (PM) offer solutions to these challenges and provide techniques to enable effective business change. The important aspects of both topics are discussed within this state-of-the-art volume. It covers the strategic support, business applications, methodologies and technologies from the field, and explores the benefits, issues and challenges of each. Issues are analysed from many different perspectives, ranging from strategic management to data technologies, and the different subjects are complimented and illustrated by numerous examples of industrial applications. Contributions are authored by leading academics and practitioners representing various universities, research centres and companies worldwide. Their experience covers multiple disciplines and industries, including finance, construction, logistics, and public services, amongst others.
Business Intelligence and Performance Management is a valuable source of reference for graduates approaching MSc or PhD programs and for professionals in industry researching in the fields of BI and PM for industrial application.
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 require fast storage, reliable data access, intelligent retrieval of information and automated decision-making mechanisms, all provided at the highest level of service quality. Successful enterprises are aware of these challenges and efficiently respond to the dynamic environment in which their business operates.
Business Intelligence (BI) and Performance Management (PM) offer solutions to these challenges and provide techniques to enable effective business change. The important aspects of both topics are discussed within this state-of-the-art volume. It covers the strategic support, business applications, methodologies and technologies from the field, and explores the benefits, issues and challenges of each. Issues are analysed from many different perspectives, ranging from strategic management to data technologies, and the different subjects are complimented and illustrated by numerous examples of industrial applications. Contributions are authored by leading academics and practitioners representing various universities, research centres and companies worldwide. Their experience covers multiple disciplines and industries, including finance, construction, logistics, and public services, amongst others.
Business Intelligence and Performance Management is a valuable source of reference for graduates approaching MSc or PhD programs and for professionals in industry researching in the fields of BI and PM for industrial application.
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 require fast storage, reliable data access, intelligent retrieval of information and automated decision-making mechanisms, all provided at the highest level of service quality. Successful enterprises are aware of these challenges and efficiently respond to the dynamic environment in which their business operates.
Business Intelligence (BI) and Performance Management (PM) offer solutions to these challenges and provide techniques to enable effective business change. The important aspects of both topics are discussed within this state-of-the-art volume. It covers the strategic support, business applications, methodologies and technologies from the field, and explores the benefits, issues and challenges of each. Issues are analysed from many different perspectives, ranging from strategic management to data technologies, and the different subjects are complimented and illustrated by numerous examples of industrial applications. Contributions are authored by leading academics and practitioners representing various universities, research centres and companies worldwide. Their experience covers multiple disciplines and industries, including finance, construction, logistics, and public services, amongst others.
Business Intelligence and Performance Management is a valuable source of reference for graduates approaching MSc or PhD programs and for professionals in industry researching in the fields of BI and PM for industrial application.
Content:
Front Matter....Pages I-XIV
Front Matter....Pages 1-1
Business Intelligence and Performance Management: Introduction....Pages 3-10
Front Matter....Pages 11-11
An Integrated Business Intelligence Framework....Pages 13-26
Linking the Operational, Tactical and Strategic Levels by Means of CPM: An Example in the Construction Industry....Pages 27-42
Adaptive Business Intelligence: The Integration of Data Mining and Systems Engineering into an Advanced Decision Support as an Integral Part of the Business Strategy....Pages 43-58
How to Introduce KPIs and Scorecards in IT Management....Pages 59-72
Front Matter....Pages 73-73
Identifying Suspicious Activities in Company Networks Through Data Mining and Visualization....Pages 75-90
Exploring the Differences Between the Cross Industry Process for Data Mining and the National Intelligence Model Using a Self Organising Map Case study....Pages 91-105
Business Planning and Support by IT-Systems....Pages 107-123
Planning Purchase Decisions with Advanced Neural Networks....Pages 125-141
Front Matter....Pages 143-143
Financial Time Series Processing: A Roadmap of Online and Offline Methods....Pages 145-162
Data Supply for Planning and Budgeting Processes under Uncertainty by Means of Regression Analyses....Pages 163-178
Minimizing the Total Cost in Production and Transportation Planning—A Fuzzy Approach....Pages 179-190
Design and Automation for Manufacturing Processes: An Intelligent Business Modeling Using Adaptive Neuro-Fuzzy Inference Systems....Pages 191-208
How to Measure Efficiency in IT Organizations....Pages 209-226
Front Matter....Pages 227-227
Business Activity Monitoring (BAM)....Pages 229-242
Scaling up Data Mining Techniques to Large Datasets Using Parallel and Distributed Processing....Pages 243-259
Front Matter....Pages 261-261
Evolution of Business Intelligence....Pages 263-269
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 require fast storage, reliable data access, intelligent retrieval of information and automated decision-making mechanisms, all provided at the highest level of service quality. Successful enterprises are aware of these challenges and efficiently respond to the dynamic environment in which their business operates.
Business Intelligence (BI) and Performance Management (PM) offer solutions to these challenges and provide techniques to enable effective business change. The important aspects of both topics are discussed within this state-of-the-art volume. It covers the strategic support, business applications, methodologies and technologies from the field, and explores the benefits, issues and challenges of each. Issues are analysed from many different perspectives, ranging from strategic management to data technologies, and the different subjects are complimented and illustrated by numerous examples of industrial applications. Contributions are authored by leading academics and practitioners representing various universities, research centres and companies worldwide. Their experience covers multiple disciplines and industries, including finance, construction, logistics, and public services, amongst others.
Business Intelligence and Performance Management is a valuable source of reference for graduates approaching MSc or PhD programs and for professionals in industry researching in the fields of BI and PM for industrial application.
Content:
Front Matter....Pages I-XIV
Front Matter....Pages 1-1
Business Intelligence and Performance Management: Introduction....Pages 3-10
Front Matter....Pages 11-11
An Integrated Business Intelligence Framework....Pages 13-26
Linking the Operational, Tactical and Strategic Levels by Means of CPM: An Example in the Construction Industry....Pages 27-42
Adaptive Business Intelligence: The Integration of Data Mining and Systems Engineering into an Advanced Decision Support as an Integral Part of the Business Strategy....Pages 43-58
How to Introduce KPIs and Scorecards in IT Management....Pages 59-72
Front Matter....Pages 73-73
Identifying Suspicious Activities in Company Networks Through Data Mining and Visualization....Pages 75-90
Exploring the Differences Between the Cross Industry Process for Data Mining and the National Intelligence Model Using a Self Organising Map Case study....Pages 91-105
Business Planning and Support by IT-Systems....Pages 107-123
Planning Purchase Decisions with Advanced Neural Networks....Pages 125-141
Front Matter....Pages 143-143
Financial Time Series Processing: A Roadmap of Online and Offline Methods....Pages 145-162
Data Supply for Planning and Budgeting Processes under Uncertainty by Means of Regression Analyses....Pages 163-178
Minimizing the Total Cost in Production and Transportation Planning—A Fuzzy Approach....Pages 179-190
Design and Automation for Manufacturing Processes: An Intelligent Business Modeling Using Adaptive Neuro-Fuzzy Inference Systems....Pages 191-208
How to Measure Efficiency in IT Organizations....Pages 209-226
Front Matter....Pages 227-227
Business Activity Monitoring (BAM)....Pages 229-242
Scaling up Data Mining Techniques to Large Datasets Using Parallel and Distributed Processing....Pages 243-259
Front Matter....Pages 261-261
Evolution of Business Intelligence....Pages 263-269
....