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Decision support and business intelligence systems

By: Publication details: Pearson India Education Services 2014 NoidaEdition: 9Description: 672 PaperbackISBN:
  • 978-93-325-1825-4
Subject(s):
DDC classification:
  • 658.403/Tur/8885G 8885G
Contents:
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
Summary: 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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Holdings
Item type Current library Call number Status Date due Barcode Item holds
Gifts/Endowment Gifts/Endowment Main Library 658.403/Tur/8885G 8885G (Browse shelf(Opens below)) Available 8885G
Total holds: 0

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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