BUSINESS INTELLIGENCE AND ANALYTICS: SYSTEMS FOR DECISION SUPPORT,

Publisher:
PEARSON INDIA
| Author:
EFRAIM TURBAN AND RAMESH SHARDA
| Language:
English
| Format:
Paperback
Publisher:
PEARSON INDIA
Author:
EFRAIM TURBAN AND RAMESH SHARDA
Language:
English
Format:
Paperback

795

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Availiblity

ISBN:
SKU 9789352866489 Categories ,
Page Extent:
688

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. Features Introduction of management support systems (MSS) technologiesExtensive supply chain and ERP coverage. Comprehensive coverage of data warehousing. Organizational and societal impacts. Detailed coverage of implementation and integration.
Table of 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 MakingPart II Descriptive Analytics
Chapter 3 Data Warehousing
Chapter 4 Business Reporting, Visual Analytics and BusinessPerformance 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 AnalyticsPart IV Prescriptive Analytics
Chapter 9 Model-Based Decision Making: Optimization and Multi-Criteria Systems
Chapter 10 Modeling and Analysis: Heuristic Search Methods andSimulation
Chapter 11 Automated Decision Systems and Expert Systems
Chapter 12 Knowledge Management and Collaborative SystemsPart V Big Data and Future Directions for BusinessAnalytics
Chapter 13 Big Data and Analytics Chapter 14 Business Analytics: Emerging Trends and FutureImpacts.

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Description

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. Features Introduction of management support systems (MSS) technologiesExtensive supply chain and ERP coverage. Comprehensive coverage of data warehousing. Organizational and societal impacts. Detailed coverage of implementation and integration.
Table of 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 MakingPart II Descriptive Analytics
Chapter 3 Data Warehousing
Chapter 4 Business Reporting, Visual Analytics and BusinessPerformance 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 AnalyticsPart IV Prescriptive Analytics
Chapter 9 Model-Based Decision Making: Optimization and Multi-Criteria Systems
Chapter 10 Modeling and Analysis: Heuristic Search Methods andSimulation
Chapter 11 Automated Decision Systems and Expert Systems
Chapter 12 Knowledge Management and Collaborative SystemsPart V Big Data and Future Directions for BusinessAnalytics
Chapter 13 Big Data and Analytics Chapter 14 Business Analytics: Emerging Trends and FutureImpacts.

About Author

Dr. Dursun Delen is the holder of Spears Endowed Chair in Business Administration, Patterson Family Endowed Chair in Business Analytics, Director of Research for the Center for Health Systems Innovation, and Regents Professor of Management Science and Information Systems in the Spears School of Business at Oklahoma State University (OSU). Dr. Delen has over 30 years of experience in analytics both as a business consultant and university professor. Prior to his academic tenure, he worked for a privately-owned research and consultancy company as a research scientist for five years, during which he led a number of decision support, information systems and advanced analytics related research projects funded by federal agencies including DoD, NASA, NIST and DoE. Dr. Delen has published more than 150 peer-reviewed articles and 11 books/textbooks. He is often invited to national and international conferences for keynote addresses, and companies for consultancy engagements on topics related to business analytics, data science, data/text mining, and knowledge management. He regularly serves as chair for tracks and mini-tracks at various business analytics and information systems conferences. Currently, he is serving on more than a dozen journal editorial boards as editor-in-chief, senior editor, associate editor, and editorial board member. He is the recipient of several research and teaching awards including the prestigious Fulbright scholar, regents distinguished teacher and researcher, and Big Data mentor awards.

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