Business intelligence and analytics : systems for decision support / Ramesh Sharda, Dursun Delen and Efraim Turban With contributions by J. E. Aronson, Ting-Peng Liang and David King.
Material type:
- 9781292009209
- 658.4038011 23 Sh531
Item type | Current library | Call number | Status | Date due | Barcode | Item holds | |
---|---|---|---|---|---|---|---|
Books | ISI Library, Kolkata | 658.4038011 Sh531 (Browse shelf(Opens below)) | Available | 137951 |
Global edition.
Includes bibliographical references and index.
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.
This text 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. This 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$1? ?(Bs understanding of the various types of analytics by providing examples, products, services, and exercises by discussing Web-related issues throughout the text.
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