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Unit of study_
INFS3050: Analysing Data for Insights
2027 unit information
Every time a customer clicks, searches, buys, or abandons a shopping cart, they leave behind data. Every social media campaign, every online transaction, every click in an app generates numbers. But data alone is not useful. The value comes when someone can look at the numbers, find the patterns, and explain what they mean. You will learn how to analyse business data, find patterns, and turn numbers into insights that managers and leaders can act on. You will work with real datasets using contemporary analytics tools, creating visualisations, exploring trends, and answering the kinds of questions businesses actually ask. This means interpreting and communicating what the data means, not writing code. Being able to analyse data and turn it into insights is one of the most transferable skills you can develop. It's relevant in every industry and valued in every role. Whatever your career, analysing data is an essential skill.
Unit details and rules
Managing faculty or University school:
Business (Business School)
| Study level | Undergraduate |
|---|---|
| Academic unit | Business Information Systems |
| Credit points | 6 |
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Prerequisites:
?
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None |
|---|---|
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Corequisites:
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None |
| Prohibitions:
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None |
| Assumed knowledge:
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INFS1000 or INFO1000 or INFO1003 or INFO1903 |
At the completion of this unit, you should be able to:
- LO1. use appropriate conceptual frameworks to analyse the role of different business intelligence applications in supporting day to day business and improving organisational and competitive advantage
- LO2. describe the organisational issues related to a business intelligence based management approach and propose solutions to overcome the issues
- LO3. design a business intelligence solution to address a business problem using a commercial business intelligence platform
- LO4. relate business intelligence to business performance management, business process management and information management in an enterprise
- LO5. demonstrate an awareness of the current and emerging trends in business intelligence.
Unit availability
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The outline is published 2 weeks before the first day of teaching. You can look at previous outlines for a guide to the details of a unit.
| Session | MoA ? | Location | Outline ? |
|---|---|---|---|
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Semester 1 2027
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Normal day | Camperdown/Darlington, Sydney |
Outline unavailable
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Modes of attendance (MoA)
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