Business Intelligence - 2017

Unit summary


  • Level of Study: Undergraduate Level 2
  • Study load: 0.125 EFTSL
  • Delivery method: Fully Online
  • Prerequisites: Yes
  • Duration: 13 weeks
  • Government loans available: FEE-HELP, HECS-HELP
  • Availability for 2017: SP2 , SP4
  • Availability for 2018: SP2 , SP4
  • Assessment: Assignment 1 - 1000 words (20%) , Assignment 2 - 2000 words (30%) - Learn more

Unit provided by

2017 Fees
Domestic 1,131.00
HECS 1,131.00
International 1,381.00

The course will explore how business information systems and business intelligence are used to provide business professionals with the ability to conduct analysis of business operations and performance for enhanced decision making. Students will be introduced to current concepts, processes and technologies in business intelligence and business analytics, and will be equipped to use selected analytics, to interpret solutions to business related problems, and to provide relevant business advice.

At the completion of this unit students will be able to:

  1. Explain the nature and role of business information systems, of business intelligence and data mining in contributing to the delivery of business value and competitive advantage in modern organisations.
  2. Differentiate the concepts of business information management, business analytics, business performance management and measurement.
  3. Compare and evaluate key data mining methods, be able to discuss the pros and cons of data mining methods.
  4. Choose appropriate business intelligence and data mining tools and techniques to implement a business strategy.
  5. Use business intelligence and data mining software tools to solve real world problems and interpret results.
  • Assignment 1 — 1000 words (20%)
  • Assignment 2 — 2000 words (30%)
  • Invigilated Exam — 1.5 hours (50%)
For more information on invigilated exams see Exams and results

Mandatory prerequisites

You must have successfully completed the following unit(s) before starting this unit:

If you have completed equivalent study at another university, please contact a Student Advisor for advice.

ACG22 has replaced ACG20 in this stream. They are not considered academically equivalent but share significant content. Do not enrol in ACG22 if you have completed ACG20.

  • Other special requirement — Students will require Windows Vista, Windows 7 or higher. UniSA does not support Windows XP.

This unit addresses the following topics.

1Course Overview
2Introduction to Business Intelligence
3Business Intelligence and Performance Management
4Business Intelligence Lifecycle
5Business Analytics and Data Mining
6Data Mining Techniques
7Web Mining
8Data Visualisation
9Information Management
10Data Warehousing for Business Intelligence
11Privacy, Ethics and Legal Considerations

This unit is delivered using the following methods and materials:

Instructional Methods

  • Online assignment submission
  • Podcasting/Lecture capture

Online materials

  • Printable format materials
  • Resources and Links

This unit is a core requirement in the following courses:

This unit may be eligible for credit towards other courses:

  1. Many undergraduate courses on offer through OUA include 'open elective' where any OUA unit can be credited to the course. You need to check the Award Requirements on the course page for the number of allowed open electives and any level limitations.
  2. In other cases, the content of this unit might be relevant to a course on offer through OUA or elsewhere. In order to receive credit for this unit in the course you will need to supply the provider institution with a copy of the Unit Profile in the approved format, which you can download here. Note that the Unit Profile is set at the start of the year, and if textbooks change this may not match the Co-Op textbook list.
This unit does not have a prescribed textbook(s).

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