Business Intelligence and Data Visualisation
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
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
01-June-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 |
| TOTAL | 150 |
OUA
| Type | Hours per week | Number of weeks | Total (number of hours) |
|---|---|---|---|
| Online Directed Online Learning and Independent Learning | 12.50 | 12 weeks | 150 |
| TOTAL | 150 |
Assessment
| Type | Task | Weighting | ULO's |
|---|---|---|---|
| Assignment 1 | Group | 30 - 50% | 1,3,4,5 |
| Assignment 2 | Individual | 20 - 30% | 1,2,3,4 |
| Report | Individual | 20 - 30% | 1,2,3,4 |
| Test | Individual | 10 - 20% | 3 |
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.