Overview

This unit focuses on business analytics and visualisation, equipping students with the relevant data analytics and visualisation skills required to solve the complex data problems of modern businesses. Students will have the opportunity to learn about evidence based decision-making, online analytical processing, big data, data visualisations and various tools and techniques to perform descriptive, predictive and prescriptive analytics and their application in various domains.

Requisites

Teaching periods
Location
Start and end dates
Last self-enrolment date
Census date
Last withdraw without fail date
Results released date
Semester 2
Location
Hawthorn
Start and end dates
29-July-2024
27-October-2024
Last self-enrolment date
11-August-2024
Census date
31-August-2024
Last withdraw without fail date
13-September-2024
Results released date
03-December-2024
Semester 1
Location
Hawthorn
Start and end dates
03-March-2025
01-June-2025
Last self-enrolment date
16-March-2025
Census date
31-March-2025
Last withdraw without fail date
24-April-2025
Results released date
08-July-2025
Semester 2
Location
Hawthorn
Start and end dates
04-August-2025
02-November-2025
Last self-enrolment date
17-August-2025
Census date
31-August-2025
Last withdraw without fail date
19-September-2025
Results released date
09-December-2025

Learning outcomes

Students who successfully complete this unit will be able to:

  • Critically evaluate the concept of business analytics and visualisation and its application in various organisational contexts
  • Critically evaluate the concepts of descriptive, predictive and prescriptive analytics and apply the appropriate data analytics tools and techniques to implement business analytics strategy
  • Apply critical thinking and problem solving skills to resolve complex data problems
  • Research and evaluate the effect of big data, unstructured data, stream analysis and text analytics
  • Demonstrate appropriate communications skills in group work as well as written and oral presentations

Teaching methods

Hawthorn

Type Hours per week Number of weeks Total (number of hours)
On-campus
Class		2.00 12 weeks 24
Online
Lecture		1.00 12 weeks 12
Unspecified Activities
Independent Learning		9.50 12 weeks 114
TOTAL150

Assessment

Type Task Weighting ULO's
Assignment 1Individual 30 - 40% 1,2,3,4 
Assignment 2Individual 20 - 30% 1,4 
PresentationGroup 10 - 20% 1,3,5 
ProjectGroup 20 - 40% 1,2,3,4,5 

Content

  • The evolutionary process of business analytics implementation
  • Strategic planning and evaluation of business analytics projects
  • Data visualisation, dashboard design, storyboarding with analytics
  • Marketing analytics, financial analytics, sports analytics, geospatial analytics, security analytics, health analytics, SNA, and various other advances in business analytics
  • Use of and value of analytics in Business divisions, management functions, different management levels, performance management
  • Descriptive, predictive, prescriptive, sentiment and geospatial analytics
  • Privacy, ethical and legal issues related to business analytics

Study resources

Reading materials

A list of reading materials and/or required textbooks will be available in the Unit Outline on Canvas.