Decision support and business intelligence systems
Publication details: Pearson India Education Services 2014 NoidaEdition: 9Description: 672 PaperbackISBN:- 978-93-325-1825-4
- 658.403/Tur/8885G 8885G
Item type | Current library | Call number | Status | Date due | Barcode | Item holds | |
---|---|---|---|---|---|---|---|
Gifts/Endowment | Main Library | 658.403/Tur/8885G 8885G (Browse shelf(Opens below)) | Available | 8885G |
Table of Content
Part I: Decision Support and Business Intelligence
Chapter 1: Decision Support Systems and Business Intelligence
Part II: Computerized Decision Support
Chapter 2: Decision Making, Systems, Modeling, and Support
Chapter 3: Decision Support Systems Concepts, Methodologies, and Technologies: An Overview
Chapter 4: Modeling and Analysis
Part III: Business Intelligence
Chapter 5: Data Mining for Business Intelligence
Chapter 6: Artificial Neural Networks for Data Mining
Chapter 7: Data Warehousing
Chapter 8: Business Performance Management
Part IV: Collaboration, Communication, Group Support Systems, and Knowledge Management
Chapter 9: Collaborative Computer-Supported Technologies and Group Support Systems
Chapter 10: Knowledge Management
Part V: Intelligent Systems
Chapter 11: Artificial Intelligence and Expert Systems
Chapter 12: Advanced Intelligent Systems
Chapter 13: Management Support Systems: Emerging Trends and Impacts
Appropriate for all courses in Decision Support Systems (DSS), computerized decision making tools, and management support systems.
Decision Support and Business Intelligence Systems 9e provides the only comprehensive, up-to-date guide to today's revolutionary management support system technologies, and showcases how they can be used for better decision-making.
The 9th edition focuses on Business Intelligence (BI) and analytics for enterprise decision support in a more streamlined book.
Salient Features
• Introduction of management support systems (MSS) technologies.
• BI and analytics for enterprise decision support.
• Extensive supply chain and ERP coverage.
• Comprehensive coverage of data warehousing.
• Comprehensive coverage of knowledge-based decision support.
• Organizational and societal impacts.
• Detailed coverage of implementation and integration.
• Links to Teradata University Network (TUN).
• Software Support.
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