Data-driven Decision Making
Overview
This unit prepares students to be able to review opportunities for making decisions in an organisational context. Key to this unit is to analyse ambiguous and unclear data and outputs, requiring diverse thinking and stakeholder engagement through the decision-making process. This subject explores a range of means and methods to enable insights to be developed from data sets using a range of contemporary tools.
Requisites
27-October-2024
Learning outcomes
Students who successfully complete this unit will be able to:
- Define data-driven opportunity for efficient management and improvement of systems and processes
- Identify and collect functional performance data using a range of tools
- Prepare data for analysis, apply relevant tools and processes to represent results
- Analyse the data using contemporary decision theories
- Evaluate the analysis results against the context of the problem or opportunity
- Present data to provide clear insights, possible options and tangible business recommendations
Teaching methods
Hawthorn
| Type | Hours per week | Number of weeks | Total (number of hours) |
|---|---|---|---|
| Face to Face Contact (Phasing out) Laboratory | 3.00 | 13 week | 39 |
| Face to Face Contact (Phasing out) Laboratory | 3.00 | 13 week | 39 |
| Unspecified Learning Activities (Phasing out) Independent Learning | 3.54 | 13 week | 46 |
| Online Directed Online Learning and Independent Learning | 2.00 | 13 week | 26 |
| TOTAL | 150 |
Assessment
| Type | Task | Weighting | ULO's |
|---|---|---|---|
| Portfolio | Group | 40 - 60% | 1,2,3,4 |
| Presentation | Group | 30 - 40% | 5,6 |
| Report | Individual | 10 - 20% | 1,2 |
Hurdle
As the minimum requirements of assessment to pass a unit and meet all ULOs to a minimum standard, an undergraduate student must have achieved:
- An aggregate mark for the unit of 50% or more, including
- At least 35% of the possible final marks for each Major Assessment Component (any assessment worth 20% or more)
- At least 45% in the final exam
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Students who do not achieve at least 35% of the possible final marks for each Major Assessment Component and at least 45% for the final exam (if applicable), will receive a maximum of 44% as the total mark for the unit and will not be eligible for a conceded pass.Â
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The Major Assessment Components in this unit are the Online Activities (combined grade), Computer Lab Reports (combined grade) and the Exam.Â
Content
- Introduction to Data Analytics
- Tools and Technology
- Data Types
- Statistical Techniques
- Challenges with Data
- Gathering Client Requirements
- Research Client Opportunities
- Organisational values and culture
Study resources
Reading materials
A list of reading materials and/or required textbooks will be available in the Unit Outline on Canvas.