ETX2200 Digital business intelligence
Faculty of Business and Economics
ETX2200 Digital business intelligence is a level 2, 6-credit-point, undergraduate unit from the Faculty of Business and Economics. It isn't offered in 2025. It has no prerequisites.
- Credit points
- 6
- Offered in 2025
- Not offered
- Assessment
- No exam
- 1 task
- Workload
- 144 hours
- per semester
This is the 2025 handbook entry. See the 2027 entry.
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Requisites
Before ETX2200
No prerequisites or corequisites besides the enrolment rules below.
After ETX2200
No unit lists ETX2200 as a prerequisite in the 2025 handbook.
Enrolment rules
You must be enrolled in B2049, B2050 or B2051 to undertake this unit.
To be successful in this unit, background knowledge and application of maths is required at the equivalent of VCE Year 11 level. You may have satisfied this by completing relevant prerequisite unit/s, or you have covered relevant topics in your final years of secondary study. You should self-assess your maths competency prior to enrolling in this unit.
Overview
This unit explores the dynamic realm of harnessing data to drive informed decision-making in contemporary business environments. This unit delves into the core principles of Business Intelligence (BI) within the digital landscape. You will gain a comprehensive understanding of data collection, integration, and analysis using a range of tools and techniques.
The curriculum navigates through key facets: from establishing data warehouses and performing predictive analytics to crafting visually compelling dashboards using BI software. Emphasis is placed on practical applications, enabling you to adeptly utilise BI tools for extracting meaningful insights from complex datasets.
Moreover, ethical considerations in BI implementation and the evaluation of real-time BI systems form essential components of this course, encouraging critical thinking regarding responsible data usage.
By course conclusion, you will be equipped with the foundational knowledge and practical skills required to navigate the evolving field of Digital Business Intelligence, ready to contribute value to data-driven decision-making in organisational settings
Offerings in 2025
The 2025 handbook lists no offerings for ETX2200.
Assessment
- Within semester assessment100%
Learning outcomes
When you finish this unit, you should be able to:
- 1
explain the fundamental concepts and principles of Business Intelligence (BI) in the digital landscape
- 2
apply data mining, predictive analytics techniques and machine learning algorithms to derive actionable business insights
- 3
analyse different data visualisation methods for effective communication of business insights
- 4
create relevant and impactful real-time BI systems on business decision-making.
Workload and teaching
Minimum total expected workload to achieve the learning outcomes for this unit is 144 hours per semester typically comprising a mixture of scheduled learning activities and independent study. Independent study may include associated readings, assessment and preparation for scheduled activities. You are expected to complete all pre-class activities prior to your scheduled class, and post-class activities should be completed after your scheduled class. Learning activities may include a combination of teacher directed, peer directed and online engagement activities.
Common questions
What are the prerequisites for ETX2200?
ETX2200 has no prerequisites, but enrolment rules apply.
When is ETX2200 offered?
ETX2200 has no offerings listed in the 2025 handbook.
How much work is ETX2200?
The handbook expects about 144 hours of study across the semester. No students have rated its difficulty yet.
Does ETX2200 have an exam?
No. ETX2200 has 1 assessment task and no exam.