Business intelligence and performance management : theory, systems and industrial applications /

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Bibliographic Details
Corporate Authors: SpringerLink (Online service)
Group Author: Rausch, Peter, 1969-; Sheta, Alaa F.; Ayesh, Aladdin, 1972-
Published: Springer,
Publisher Address: London :
Publication Dates: 2013.
Literature type: eBook
Language: English
Series: Advanced information and knowledge processing
Subjects:
Online Access: http://dx.doi.org/10.1007/978-1-4471-4866-1
Carrier Form: 1 online resource (xiv, 269 pages) : illustrations.
Bibliography: With bibliographic references and index.
ISBN: 9781447148661 (electronic bk.)
1447148665 (electronic bk.)
Index Number: HD38
CLC: F272.92
Contents: Introduction.
Business Intelligence and Performance Management: Introduction /
BI/PM in Business Analytics, Strategy and Management.
An Integrated Business Intelligence Framework /
Linking the Operational, Tactical and Strategic Levels by Means of CPM: An Example in 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 /
BI/PM Applications to Business Development.
Identifying Suspicious Activities in Company Networks Through Data Mining and Visualization /
Exploring the Differences Between the Cross Industry Process for Data Mining and the National Intelligence Model Using a Self Organising Map Case study /
Business Planning and Support by IT-Systems /
Planning Purchase Decisions with Advanced Neural Networks /
Methodologies.
Financial Time Series Processing: A Roadmap of Online and Offline Methods /
Data Supply for Planning and Budgeting Processes under Uncertainty by Means of Regression Analyses /
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 /
Technologies.
Business Activity Monitoring (BAM) /
Scaling up Data Mining Techniques to Large Datasets Using Parallel and Distributed Processing /
From Past to Present to Future.
Evolution of Business Intelligence /