Business Intelligence and Data Visualisation
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.
Enrolments for this year have closed. Keep exploring subjects.
Swinburne University of Technology leads the way with innovative and new ways of teaching, learning and thinking. It offers a wide range of study options, from pre-apprenticeships, undergraduate, postgraduate and PhDs, including online degrees with Open Universities Australia. Swinburne is known for career-oriented education and encouraging lifelong learning.
QS RANKING 2022
Times Higher Education Ranking 2022
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
You must have successfully completed the following subject(s) before starting this subject:one of
- SWI-INF10002-Database Analysis and Design
- SWI-INF20004 (Not currently available)
- SWI-INF20003-Requirements Analysis and Modelling
- SWI-INF20016-Big Data Management
- SWI-INF20010 (Not currently available)
- SWI-INF20011 (Not currently available)
Students should have completed 150 Credit Points (12 units) including the prerequisites listed above.
No additional requirements
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%)
Current study term: 29 Aug 21 to 28 Nov 21
Check the learning management system (LMS) of your university for textbook details.