Overview

This unit covers issues relating to deriving intelligence from various data sources for decision making purposes. Students gather skills to drive improved decision making process for senior management based on understanding data. Students will know the importance of understanding the short and long term goals of the organisation and how these impact the decision making process. Student will use tools that enable data analysis, predictive analytics, data visualisation to assist in the delivery of delivering real-time actionable intelligence.

Requisites

Prerequisites
INF10002 Database, Analysis and Design

Rule

125 credit points from a single degree OR 150 credit points from a double degree
AND
INF10002 Database Analysis and Design
AND either,
INF20003 Requirements Analysis and Modelling
OR
INF20010 Database Systems
OR
INF20011 Mobile Business and Social Media
OR
INF20016 Big Data Management

Teaching periods
Location
Start and end dates
Last self-enrolment date
Census date
Last withdraw without fail date
Results released date
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

Learning outcomes

Students who successfully complete this unit will be able to:

  • Demonstrate an understanding of the strategic value of information, data management, and Business Intelligence to organisational decision-making activities
  • Contextualise business problems in order to evaluate the requirements for information and data
  • Analyse large corporate datasets using complementary Business Intelligence/Business Analytics tools to generate insights and provide alternative solutions to an organisation's complex problems
  • Evaluate the technological, social, management, and organisational issues affecting the application and/or implementation of Business Intelligence related activities
  • Communicate effectively as a professional and function as an effective leader or member of a team

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

OUA

Type Hours per week Number of weeks Total (number of hours)
Online
Directed Online Learning and Independent Learning
12.50 12 weeks 150
TOTAL150

Assessment

Type Task Weighting ULO's
Assignment 1Group 30 - 50% 1,3,4,5 
Assignment 2Individual 20 - 30% 1,2,3,4 
ReportIndividual 20 - 30% 1,2,3,4 
TestIndividual 10 - 20% 

Content

  • Concept of business value from corporate data, the exploitation of information for advantage, types and sources of information value
  • Nature and value of business intelligence, the business intelligence environment, and how types of data processing can add value to corporate data sources
  • Knowledge discovery, data mining, data warehousing
  • Business analytics, OLAP analysis, metadata
  • Data visualisation, visualisation techniques, dashboard
  • The relationship between corporate strategy, IS strategy and business intelligence strategy
  • BI links to enterprise systems, CRM (Customer Relationships Management), SCM (Supply Chain Management) Structured & unstructured data, content management systems
  • Privacy, ethical, legal issues associated with BI Implementation
  • BI, Decision Support Systems, Expert Systems and Executive Information Systems
  • Data modelling, star schemas
  • Using select and complementary BI/BA tools to provide insights in decision making scenarios

Study resources

Reading materials

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