Enrolments for 2022 have closed.
Business Intelligence and Data Visualisation
Undergraduate | SWI-INF30004 | 2022
Course information for 2022 intake View information for 2024 course intake
Get data smart. Source intelligence from diverse data supplies to help senior management make decisions that solve major commercial problems. Use analysis, predictive analytics, and data visualisation tools to generate key data insights.
- Study method
- 100% online
- Assessments
- 100% online
- Entry requirements
- Prior study needed
- Duration
- 13 weeks
HECS-HELP and FEE-HELP available
Business Intelligence and Data Visualisation
About this subject
Students who successfully complete this subject 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
- 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
- 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, Customer Relationships Management, 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
This subject was previously known as Business Intelligence.
This subject 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.
- Group (30-50%)
- Individual (20-30%)
- Individual (10-20%)
- Individual (20-30%)
For textbook details check your university's handbook, website or learning management system (LMS).
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- QS Ranking 2024:
- 19
- Times Higher Education Ranking 2024:
- 14
Entry requirements
Prior study
You must have successfully completed the following subject(s) before starting this subject:
one of
SWI-INF10002-Database Analysis and Design (no longer available)
SWI-INF20004 (Not currently available)
and one of
- SWI-INF20003-Requirements Analysis and Modelling
SWI-INF20010 (Not currently available)
SWI-INF20011 (Not currently available)
SWI-INF20016-Big Data Management (no longer available)
Others
Students should have completed 150 Credit Points (12 units) including the prerequisites listed above.
Additional requirements
No additional requirements
Study load
- 0.125 EFTSL
- This is in the range of 10 to 12 hours of study each week.
Equivalent full time study load (EFTSL) is one way to calculate your study load. One (1.0) EFTSL is equivalent to a full-time study load for one year.
Find out more information on Commonwealth Loans to understand what this means to your eligibility for financial support.
Student feedback
6 student respondents between 17 July - 17 July 2023.
83%of students felt the study load was manageable
100%of students felt this subject helped them gain relevant skills
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