|School or Department :||School of Business|
|Grading basis :||Graded|
|Course fee schedule :||https://www.unisq.edu.au/current-students/administration/fees/fee-schedules|
|Version produced :||30 March 2023|
It is important for all professions to have a broad comprehension of business intelligence in terms of current and emerging technology trends and how business intelligence can be applied to support data-driven decision-making. They need to have a broad knowledge of business intelligence, underlying data warehouse and big data architecture to be able apply data mining and data visualisation to support decision-making of organisations in order to achieve superior business performance management. Business intelligence plays a critical role in ensuring that organisations achieve strategic goals by monitoring organisational performance and achievement of day-to-day operational goals.
This course provides students with a broad investigation of theory, design, implementation and application of business intelligence systems in an organisational context of evidence based decision making for enhanced business performance. Students will analyse and apply data driven decision making, data warehouse, big data architecture and business intelligence tools to support improved decision making in organisations. Students will be assessed on their knowledge and comprehension of the design implementation and use of business intelligence systems and application of data mining and data visualisation tools to help solve real world business problems. The architecture, implementation, and practical use of business intelligence are considered in current and real life contexts.
|Semester 1, 2023||On-campus||Springfield|
|Semester 1, 2023||On-campus||Toowoomba|
|Semester 1, 2023||Online|
|Semester 2, 2023||Online|