Undergraduate SWI-INF30004-2023

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.

From

$3,550 $3,800

Your upfront cost: $0

International student?

Duration

13 weeks

Study method

100% Online

Available loans

HECS-HELP
FEE-HELP

Assessments

100% online

Prior study

Required

Start dates

28 Aug 2023

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.

Learn more about Swinburne.

QS Ranking 2022

Times Higher Education Ranking 2022

Need help?

Our student advisors are here to guide you with:

Enrolling and eligibility
Fee and loan information
Credit and recognition for prior learning

2023

Subject details

What you'll learn

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

Topics covered

- 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

Entry requirements

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

Description

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.

Assessments

Group (30-50%)
Individual (20-30%)
Individual (10-20%)
Individual (20-30%)

Textbooks

Current study term: 27 Aug 23 to 26 Nov 23

Check the learning management system (LMS) of your university for textbook details.