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Business intelligence and analytics : systems for decision support / Ramesh Sharda, Dursun Delen, Efraim Turban, J. E. Aronson, Ting-Peng Liang and David King

By: Material type: TextTextPublication details: India Pearson 2018Edition: 10th edDescription: 686 pISBN:
  • 9789352866489
Subject(s): DDC classification:
  • 658.4038 SHA-R
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Holdings
Item type Current library Collection Shelving location Call number Status Date due Barcode Item holds
Books Books BITS Pilani Hyderabad 650 General Stack (For lending) 658.4038 SHA-R (Browse shelf(Opens below)) Available 38233
Total holds: 0

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) technologies
Extensive 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 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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