Instructor Manual For Business Intelligence, Analytics, and Data Science: A Managerial Perspective, 4th edition Ramesh Sharda Dursun Delen Efraim Turban

Business Intelligence 4th edition  Business Intelligence, Analytics, and Data provides students with a solid foundation in business intelligence (BI), reinforced with hands-on practice to help future managers use and understand analytics. Real-world cases throughout illustrate the capabilities, costs and justifications of BI as applied to a variety of businesses.

The 4th Edition has been reorganized around 3 types of analytics: descriptive, predictive, and prescriptive (a classification promoted by INFORMS), and includes new exercises, Internet assignments, and discussion questions.

Business Intelligence 4th edition

1. An Overview of Business Intelligence, Analytics, and Data Science
2. Descriptive Analytics I: Nature of Data, Statistical Modeling, and Visualization
3. Descriptive Analytics II: Business Intelligence and Data Warehousing
4. Predictive Analytics I: Data Mining Process, Methods, and Algorithms
5. Predictive Analytics II: Text, Web, and Social Media Analytics
6. Prescriptive Analytics: Optimization and Simulation
7. Big Data Concepts and Tools
8. Future Trends, Privacy and Managerial Considerations in Analytics

Test bank

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