Applied Business Intelligence Analytics and Data Visualisation
Overview
This unit covers issues relating to deriving business insights and foresights from various data sources for decision making purposes. Students gather skills to drive improved decision making process for senior management based on understanding data. Students will know the importance of understanding the short and long term goals of the organisation and how these impact the decision making process. Student will use tools that enable data analysis, Predictive Analytics, and data visualisation to assist in the delivery of delivering real-time actionable intelligence.
Requisites
Rule
INF60007 Business Information Systems
AND
Enrolment in Master of Information Technology
OR
INF60012 Cloud Enterprise Systems and Analytics
AND
Enrolment in Master of Information Technology (Professional Computing)
OR
INF70008 Business Analytics and Visualisation
AND
Enrolment in Master of Business Information Systems (Business Analytics Specialisation)
01-June-2025
Learning outcomes
Students who successfully complete this unit will be able to:
- Demonstrate the strategic value of information, data management, and Business Analytics to organisational decision-making activities
- Apply problem solving and decision-making techniques in order to evaluate the requirements for information and data in business context
- Critically analyse various datasets using complementary data analytics/business analytics tools to generate insights and/or foresights to approach the organisation's complex problems
- Apply skills to function as an effective member or leader of a team
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 |
|---|---|---|---|
| Project and Presentation | Group | 30 - 50% | 1,2,3,4 |
| Report | Individual | 30 - 40% | 1,3 |
| Test | Individual | 20 - 30% | 1,2 |
Content
• Concept of business value from corporate data, the exploitation of information for advantage, types and sources of information value
• Nature and value of business intelligence, business analytics, and how different types of analytics can add value to corporate data sources
• Enterprise data life cycle and data governance
• Knowledge discovery, data mining, data warehousing, data lake
• Business analytics, Online Analytical Processing (OLAP) analysis, metadata.
• Data visualisation, visualisation techniques, dashboard
• The relationship between corporate strategy and Information Systems (IS) strategy pertaining data/data management
• Privacy, ethical, legal issues associated with organisational data
• Cloud based data management and analytics
Study resources
Reading materials
A list of reading materials and/or required textbooks will be available in the Unit Outline on Canvas.