Business intelligence and performance management : theory, systems and industrial applications /
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Corporate Authors: | |
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Group Author: | ; ; |
Published: |
Springer,
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Publisher Address: | London : |
Publication Dates: | 2013. |
Literature type: | eBook |
Language: | English |
Series: |
Advanced information and knowledge processing
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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 / |