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Business Intelligence and Performance Management

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Cover of 'Business Intelligence and Performance Management'

Table of Contents

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    Book Overview
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    Chapter 1 Business Intelligence and Performance Management: Introduction
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    Chapter 2 An Integrated Business Intelligence Framework
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    Chapter 3 Linking the Operational, Tactical and Strategic Levels by Means of CPM: An Example in the Construction Industry
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    Chapter 4 Adaptive Business Intelligence: The Integration of Data Mining and Systems Engineering into an Advanced Decision Support as an Integral Part of the Business Strategy
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    Chapter 5 How to Introduce KPIs and Scorecards in IT Management
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    Chapter 6 Identifying Suspicious Activities in Company Networks Through Data Mining and Visualization
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    Chapter 7 Exploring the Differences Between the Cross Industry Process for Data Mining and the National Intelligence Model Using a Self Organising Map Case study
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    Chapter 8 Business Planning and Support by IT-Systems
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    Chapter 9 Planning Purchase Decisions with Advanced Neural Networks
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    Chapter 10 Financial Time Series Processing: A Roadmap of Online and Offline Methods
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    Chapter 11 Data Supply for Planning and Budgeting Processes under Uncertainty by Means of Regression Analyses
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    Chapter 12 Minimizing the Total Cost in Production and Transportation Planning—A Fuzzy Approach
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    Chapter 13 Design and Automation for Manufacturing Processes: An Intelligent Business Modeling Using Adaptive Neuro-Fuzzy Inference Systems
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    Chapter 14 How to Measure Efficiency in IT Organizations
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    Chapter 15 Business Activity Monitoring (BAM)
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    Chapter 16 Scaling up Data Mining Techniques to Large Datasets Using Parallel and Distributed Processing
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    Chapter 17 Evolution of Business Intelligence
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125 Mendeley
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Title
Business Intelligence and Performance Management
Published by
Springer London, January 2013
DOI 10.1007/978-1-4471-4866-1
ISBNs
978-1-4471-4865-4, 978-1-4471-4866-1
Authors

Rausch, Peter, Sheta, Alaa F, Ayesh, Aladdin

Editors

Peter Rausch, Alaa F. Sheta, Aladdin Ayesh

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 125 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 2 2%
North Macedonia 1 <1%
South Africa 1 <1%
Canada 1 <1%
Thailand 1 <1%
Greece 1 <1%
Unknown 118 94%

Demographic breakdown

Readers by professional status Count As %
Student > Master 42 34%
Student > Bachelor 19 15%
Student > Ph. D. Student 18 14%
Student > Postgraduate 9 7%
Student > Doctoral Student 8 6%
Other 23 18%
Unknown 6 5%
Readers by discipline Count As %
Computer Science 66 53%
Business, Management and Accounting 26 21%
Engineering 13 10%
Economics, Econometrics and Finance 4 3%
Mathematics 2 2%
Other 6 5%
Unknown 8 6%