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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.

By: Sharda, Ramesh [author].
Contributor(s): Delen, Dursun [author] | Turban, Efraim [author] | Aronson, J. E [contributor] | Liang, Ting-Peng [contributor] | King, David [contributor].
Material type: TextTextPublisher: Boston : Pearson, 2014Edition: 10th ed.Description: 686 pages : illustrations ; 27 cm.ISBN: 9781292009209.Subject(s): Management -- Data processing | Decision support systems | Expert systems (Computer science) | Business intelligenceDDC classification: 658.4038011
Contents:
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.
Summary: 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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Item type Current location Call number Status Date due Barcode Item holds
Books Books ISI Library, Kolkata
 
658.4038011 Sh531 (Browse shelf) Available 137951
Total holds: 0

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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