Business Intelligence - MG 425
- To produce graduates who have the proficiency and ability to apply knowledge of business, management, marketing and finance to identify, formulate and solving business administration problem.
- To produce graduates with fundamental and diverse business knowledge who can adapt to new technologies, and have ability to apply techniques, skills and business tools necessary for business administration practice
- To produce graduates with multi-disciplinary teamwork and leadership skills, as well as proficiency in written and oral communication to assure effective presentation of technical and social issues.
- To produce graduates who understand business practice issues, professional and ethical responsibility, contemporary issues and impact of business management solutions in a global and societal contexts.
- To produce graduates who are able to recognize the need to engage in lifelong learning for further personal and professional growth and development through continuing education.
- Introductions and Course Overview
- Business Pressures–Responses–Support Model
- Business intelligence (BI) methodology and concepts
- Data warehousing
- Data warehousing Operation and Development
- Data warehousing structure
- Data warehousing structure 2
- Data warehousing - Relational database software and platform selection
- Data mining for business intelligence 1
- Mining for business intelligence.2
- Text and web mining
- BI Implementation: Integration
- BI Implementation : Issues and Emerging Trends
- BI implementation and trend
Carlo Vercellis, Business Intelligence : Data Mining And Optimization For Decision Making, Wiley, 2011
Efraim Turban, Ramesh Sharda, Dursun Delen, Decision Support and Business Intelligence Systems 9e, Prentice Hall, 2010