Business Intelligence and Data Visualisation
Overview
This unit equips students with the knowledge and skills to transform data into actionable insights and foresights for enhanced organisational decision-making. Emphasising the strategic value of Business Intelligence (BI), students learn to harness data from diverse sources using visual analytics, data analytics, and enterprise-grade BI tools. The unit explores how data-driven approaches support both short- and long-term organisational goals, with practical application of analytics platforms to derive actionable intelligence. The unit also introduces the practical potential of Artificial Intelligence and Machine Learning in enhancing analytical outputs, enabling students to appreciate their emerging role in transforming raw data into strategic, enterprise-ready intelligence.
Requisites
AND
125 credit points from a single degree OR 150 credit points from a double degree
AND either,
INF20003 Requirements Analysis and Modelling
OR
INF20016 Big Data Management
31-May-2026
01-November-2026
Unit learning outcomes
Students who successfully complete this unit will be able to:
- Demonstrate a critical understanding of the strategic value of data, analytics, and Business Intelligence in supporting data-driven organisational decision-making
- Contextualise business problems to determine appropriate data requirements to generate analytical insight and foresight
- Apply Business Intelligence or data analytics tools to analyse organisational datasets and provide data-driven insights to an organisation’s complex problems
- Evaluate the technological, organisational, ethical, and managerial considerations influencing the implementation and adoption of Business Intelligence or AI-enabled analytics solutions
Teaching methods
Hawthorn
| Type | Hours per week | Number of weeks | Total (number of hours) |
|---|---|---|---|
| On-campus Class | 2.00 | 12 weeks | 24 |
| Online Lecture | 1.00 | 12 weeks | 12 |
| Unspecified Activities Independent Learning | 9.50 | 12 weeks | 114 |
| TOTAL | 150 |
Assessment
| Type | Task | Weighting | ULO's |
|---|---|---|---|
| Portfolio | Individual | 20-40% | 1,4 |
| Project | Individual | 30-50% | 1,2,3 |
| Test | Individual | 20-30% | 2,3 |
Content
- Strategic value of Business Intelligence and its role in data-driven organisational decision-making
- Data sources, types (structured and unstructured), metadata
- Governance, data privacy, legal, and ethical considerations
- Data management, modelling, warehousing, data lake, master data management
- Descriptive, diagnostic, and predictive analytics, monte-carlo analysis, OLAP, OLTP
- Knowledge discovery and data mining including classification, clustering, and association methods
- Data visualisation and dashboard design principles for effective analytical storytelling
- Introduction to Artificial Intelligence and Machine Learning in Business Intelligence
Study resources
Reading materials
A list of reading materials and/or required textbooks will be available in the Unit Outline on Canvas.