Business intelligence, analytics, and data science : a managerial perspective /
Ramesh Sharda, Dursun Delen, Efraim Turban ; with contributions to previous editions by J. E. Aronson, Ting-Peng Liang, David King.
- Fourth edition, global edition.
- New York : Pearson, [2018].
- xxvi, 486 p. : ill. col. 26 cm.
Includes bibliographical references and index.
Ch. 1. An Overview of Business Intelligence, Analytics, and Data Science -- Ch. 2. Descriptive Analytics I: Nature of Data, Statistical Modeling, and Visualization -- Ch. 3. Descriptive Analytics II: Business Intelligence and Data Warehousing -- Ch. 4. Predictive Analytics I: Data Mining Process, Methods, and Algorithms -- Ch. 5. Predictive Analytics II: Text, Web, and Social Media -- Ch. 6 Prescriptive Analytics: Optimization and Simulation -- Ch. 7. Big Data Concepts and Tools -- Ch. 8. Future Trends, Privacy and Managerial Considerations in Analytics.
For courses on Business Intelligence or Decision Support Systems. A managerial approach to understanding business intelligence systems.To help future managers use and understand analytics, Business Intelligence provides students with a solid foundation of BI that is reinforced with hands-on practice.