Available in 2018

Course handbook


Business intelligence (BI) is an umbrella term that combines architectures, tools, databases, analytical tools, applications and methodologies. The major objectives of business intelligence are to enable interactive access to data and to give business managers the ability to conduct analysis and make better decisions. The course covers how to design, implement and integrate business intelligence techniques and systems into the enterprise.


WebLearn GradSchool

  • Trimester 3 - 2018

Learning outcomes

On successful completion of the course students will be able to:

1. Describe the concepts and components of Business Intelligence and how they are relevant to an enterprise.

2. Critically evaluate the use of BI for supporting decision making in an enterprise.

3. Describe and use the technologies, applications, tools and methodologies that make up Business Intelligence.

4. Demonstrate an understanding of the technological architecture that underpins BI systems in an enterprise.

5. Conceptually implement parts of a BI enterprise system.


  • Information value, classification of types and sources of value, and types of processing that can add value to corporate data sources.
  • The nature and role of business intelligence in contributing to the delivery of business value and competitive advantage in modern enterprises.
  • The relationship of the business intelligence environment, in particular data warehousing and data mining, to different enterprise contexts.
  • The data integration process, data profiling, data cleansing and data enhancement, and their contribution to adding value to data.
  • Data warehouse design; star schemas, redundancy, data distribution and security issues.
  • Adding value to data; knowledge discovery, and data mining.
  • Web-based decision support and mining technology in business intelligence.


This course replaces GEBU6040. If you have successfully completed GEBU6040 you cannot enrol in this course.

Assumed knowledge

Basic competency in Microsoft Excel.

Assessment items

Quiz: Examination - Class Online Quiz

Written Assignment: Essay/Written Assessment

Participation: Group Tutorial Participation and Contribution

Contact hours

WebLearn GradSchool


Online 2 hour(s) per Week for Full Term


Online 2 hour(s) per Week for Full Term

For the On-line version of the course, 10 hours per week is a minimum recommendation and may vary with individual student's learning style for on-line courses.