Business Intelligence and Analytics, 10e 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 10th edition focuses on
Business Intelligence (BI) and analytics for enterprise decision support
in a more streamlined book. In addition to traditional decision support
applications, this edition expands the reader’s understanding of the
various types of analytics by providing examples, products, services,
and exercises by discussing Web-related issues throughout the text.
About the Author
Ramesh Sharda
Oklahoma State University; Dursun Delen
Oklahoma State University; Efraim Turban
University of Hawaii
Features
-Introduction of management support systems (MSS) technologies
-Extensive supply chain and ERP coverage.
- Comprehensive coverage of data warehousing.
-Organizational and societal impacts.
- Detailed coverage of implementation and integration.
Table Content
Part I Decision Making and Analytics: An Overview
Chapter 1 An Overview of Business Intelligence, Analytics,
and Decision Support
Chapter 2 Foundations and Technologies for Decision Making
Part II Descriptive Analytics
Chapter 3 Data Warehousing
Chapter 4 Business Reporting, Visual Analytics, and Business
Performance Management
Part III Predictive Analytics
Chapter 5 Data Mining
Chapter 6 Techniques for Predictive Modeling
Chapter 7 Text Analytics, Text Mining, and Sentiment Analysis
Chapter 8 Web Analytics, Web Mining, and Social Analytics
Part IV Prescriptive Analytics
Chapter 9 Model-Based Decision Making: Optimization and Multi-
Criteria Systems
Chapter 10 Modeling and Analysis: Heuristic Search Methods and
Simulation
Chapter 11 Automated Decision Systems and Expert Systems
Chapter 12 Knowledge Management and Collaborative Systems
Part V Big Data and Future Directions for Business
Analytics
Chapter 13 Big Data and Analytics
Chapter 14 Business Analytics: Emerging Trends and Future
Impacts
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