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.

Unit learning outcomes

Students who successfully complete this unit will be able to:

1. Define data-driven opportunity for efficient management and improvement of systems and processes
2. Identify and collect functional performance data using a range of tools
3. Prepare data for analysis, apply relevant tools and processes to represent results
4. Analyse the data using contemporary decision theories
5. Evaluate the analysis results against the context of the problem or opportunity
6. Present data to provide clear insights, possible options and tangible business recommendations

Teaching methods

Hawthorn

Assessment

• 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

 

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. 
 
The Major Assessment Components in this unit are the Online Activities (combined grade), Computer Lab Reports (combined grade) and the Exam. 

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