MIS781 - Business Intelligence

Unit details


2017 unit information

Enrolment modes:Trimester 2: Burwood (Melbourne), Cloud (online)
Trimester 3: Burwood (Melbourne), Cloud (online)
Credit point(s):1
EFTSL value:0.125
Unit chair:W Yeoh


Incompatible with: Nil
Contact hours:

Campus: 1 x 2 hour class, 1 x 1 hour computer lab per week
Cloud(online): Learning resources are via CloudDeakin




* Students will be expected to complete some pre-reading in preparation for the unit (made available via CloudDeakin upon commencement of Trimester).


With the ever-growing volume of data, it is now becoming more difficult for organisations to identify and take advantage of valuable business information. Contemporary Business Intelligence addresses this conundrum by delivering the right information to the right people at the right time and in the right form. Business Intelligence is widely used to support business decision-making, and to inform decision at the management, operation and planning levels of an organisation. This unit aims to provide an introduction to the business uses, applications and technologies of business intelligence for decision support. It will give students a broad overview of business intelligence and introduce current theories, techniques, frameworks, applications, architectures and technologies in business intelligence that supports decision-making process. It will also provide students with an opportunity to gain hands-on experience in using the industry-standard business intelligence system (IBM Cognos). On completion of this unit students should be able to: explain the importance of business intelligence for an organisation; describe the tools and techniques which are used in business intelligence; understand the major issues in implementing business intelligence; assess and propose suitable designs for development of business intelligence programs.


Assessment 1 (Group of 3) - Business Intelligence Solution Implementation (deliverables - business intelligence dashboards, social media analytics and predictive models) and report (5000 words) - 40%

Assessment 2 (Individual) - Group assignment self-reflection report (1000 words) - 10%

Examination (2 hours) - 50%

Hurdle requirement: achieve at least 50% of the marks available on the examination

Unit Fee Information

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