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, offered in 2027 in Semester 1 at Caulfield and Malaysia. It needs ETF1100, ETW1001 or ETI1100.
- Credit points
- 6
- Offered in 2027
- Semester 1
- Caulfield, Malaysia
- Assessment
- No exam
- 3 tasks
- Workload
- 144 hours
- per semester
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Requisites
Before ETX2200
Prerequisites
Pass these before you enrol.
After ETX2200
No unit lists ETX2200 as a prerequisite in the 2027 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 2027
| Teaching period | Campus | Mode |
|---|---|---|
| First semester | Caulfield | On campus |
| First semester | Malaysia | On campus |
Assessment
- Project30%
- Project30%
- Project40%
Assessment details may change. Please refer to the assessment information in Moodle closer to the start of the teaching period.
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
- Workshops36 hours
- Teaching approachResearch activities
- Teaching approachSimulation or virtual practice
- Teaching approachActive learning
- Teaching approachCase-based teaching
- Teaching approachIndustry-based learning
- Teaching approachProblem-based learning
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.
This unit allows you to develop your research skills by engaging in structured inquiry using a systematic approach and discipline-specific methodologies.
This unit allows you to engage in guided, immersive experiences to develop relevant skills, knowledge and attitudes through simulation or virtual practice.
This unit engages you in actively applying your knowledge, skills and attributes in interactive, collaborative and reflective activities.
This unit includes case-based teaching, where you apply your knowledge and engage in analytical and reflective thinking to solve complex contextual scenarios. Activities are often designed so that there is not one clear answer, but you need to work together to examine, analyse and make decisions to resolve the situation.
This unit provides you with the opportunity to engage in industry-based learning to incorporate professional and industry experience into your studies.
This unit includes problem-based learning approaches, where you engage in research, integrate theory and practice and apply knowledge and skills to develop viable solutions in response to a problem or set of problems.
Contacts
- Unit Coordinators
- Dr Julia Polak
- Chief Examiners
- Dr Mogana Darshini Ganggayah
Common questions
What are the prerequisites for ETX2200?
You need ETF1100, ETW1001 or ETI1100 before you enrol. Enrolment rules also apply.
When is ETX2200 offered?
In 2027, ETX2200 runs in Semester 1 at Caulfield and Malaysia.
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 3 assessment tasks and no exam.