BUSINESS INTELLIGENCE AND DATA WAREHOUSING (2 CREDITS)

Learning Outcomes:

On successful completion of this course, students will be able to: LO1 – Identify the basic concepts, components, environment, architecture and technologies of business intelligence and data warehouse; LO2 – explain the requirements and how to design business intelligence and data warehouse; LO3 – analyze collection of data and techniques for processing the data in business intelligence and data warehouse; LO4 – analyze the strategy of design and implement business intelligence and data warehouse appropriate to the need.

Topics:

1. Overview of Business Intelligence, Analytics, and Data Science;
2. Analytics: A Comprehensive Study Business Analytics;
3. Essential Aspects of Business Intelligence;
4. Descriptive Analytics II: Business Intelligence and Data Warehousing: Performance Measurement;
5. Operational Intelligence: Technological Components;
6. Descriptive Analytics II: Business Intelligence and Data Warehousing: Business Intelligence and Data Warehousing (1);
7. Descriptive Analytics II: Business Intelligence and Data Warehousing: Business Intelligence and Data Warehousing (2);
8. OLAP;
9. Descriptive Analytics II: Business Intelligence and Data Warehousing: Business Intelligence and Data Warehousing (3);
10. Data Warehouse Administration, Security Issues, and Future Trends;
11. Future Trends, Privacy and Managerial Considerations in Analytics;
12. Project Conceptualization and Design: Business Intelligence and Data Warehouse;
13. Project Presentation: Business Intelligence and Data Warehouse.