Business Intelligence - MG 425

Course Objectives

  1. 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.
  2. 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
  3. 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.
  4. 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.
  5. 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.

Course Content

  • 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

Recommended Text:

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

Syllabus