Data-Driven Decision Making

INF10021 12.5 Credit Points Hawthorn


  • One Semester or equivalent

Contact hours

  • 112 Hours

On-campus unit delivery combines face-to-face and digital learning.

2023 teaching periods


HB4  HE Block 4

Higher Ed. Semester 2

27 Feb 23 - 19 Jul 23

15 Aug 23

Last self enrolment:
27 Feb 23

31 Mar 23

Last withdraw without fail:
12 May 23

31 Jul 23 - 29 Oct 23

5 Dec 23

Last self enrolment:
13 Aug 23

31 Aug 23

Last withdraw without fail:
15 Sep 23

Aims and objectives

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 (ULO)

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