Applied Business Analytics and Data Visualisation
Duration
- One Semester or equivalent
Contact hours
- 24 hours face to face + blended
On-campus unit delivery combines face-to-face and digital learning.
Prerequisites
INF60007 Business Information Systems AND Admission into MA-IT1 - Master of Information Technology
or
INF60012 Cloud Enterprise Systems and Analytics AND Admission into MA-ITPC1 - Master of Information Technology (Professional Computing)
or
Admission into MA-BIS - Master of Business Information Systems or Business Analytics Specialisation
Aims and objectives
This unit covers issues relating to deriving business insights and foresights 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, and data visualisation to assist in the delivery of delivering real-time actionable intelligence.
Unit Learning Outcomes (ULO)
Students who successfully complete this unit will be able to:
1 Demonstrate the strategic value of information, data management, and Business Analytics to organisational decision-making activities
2 Apply problem solving and decision-making techniques in order to evaluate the requirements for information and data in business context
3 Critically analyse various datasets using complementary data analytics/business analytics tools to generate insights and/or foresights to approach the organisation's complex problems
4 Apply skills to function as an effective member or leader of a team
Unit information in detail
- Teaching methods, assessment and content.
Teaching methods
Hawthorn
Type | Hours per week | Number of Weeks | Total |
On Campus Class in Computer Lab | 2 | 12 | 24 |
Online (asynchronous lecture) | 1 | 12 | 12 |
Unspecified Activities Independent Learning | 9.5 | 12 | 114 |
TOTAL | 150 hours |
Assessment
Types | Individual/Group Role | Weighting | Unit Learning Outcomes (ULOs) |
Project and Presentation | Individual | 30-50% | 1,2,3,4 |
| Report | Group | 30-40% | 1,3 |
Test | Individual | 20-30% | 1,2 |
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, business analytics, and how different types of analytics can add value to corporate data sources
• Enterprise data life cycle and data governance
• Knowledge discovery, data mining, data warehousing, data lake
• Business analytics, Online Analytical Processing (OLAP) analysis, metadata.
• Data visualisation, visualisation techniques, dashboard
• The relationship between corporate strategy and Information Systems (IS) strategy pertaining data/data management
• Privacy, ethical, legal issues associated with organisational data
• Cloud based data management and analytics
• Nature and value of business intelligence, business analytics, and how different types of analytics can add value to corporate data sources
• Enterprise data life cycle and data governance
• Knowledge discovery, data mining, data warehousing, data lake
• Business analytics, Online Analytical Processing (OLAP) analysis, metadata.
• Data visualisation, visualisation techniques, dashboard
• The relationship between corporate strategy and Information Systems (IS) strategy pertaining data/data management
• Privacy, ethical, legal issues associated with organisational data
• Cloud based data management and analytics
Study resources
- Reading materials.
Reading materials
Students are advised to check the unit outline in the relevant teaching period for appropriate textbooks and further reading