Course overview
This course aims to equip learners with the knowledge and skills to effectively use business information systems and business intelligence for enhanced decision-making. The course follows the CRISP-DM framework to decompose and structure the intelligence/analytic task and guides students in applying this framework in real-world scenarios. Practical component of the course introduces students to Tableau (professional visualisation tool) and KNIME (free, open analytic system similar to SAS, introducing the concept of workflow assembly from configurable nodes of functionality).
- Intelligence In Business
- Analytic Plan; Crisp-Dm Framework
- Methods
- Reporting
Course learning outcomes
- Explain the nature and role of business intelligence and analytics in decision-making, actionable insights, and contributing to the delivery of business value and competitive advantage in modern organisations
- Apply the CRISP-DM framework in a realistic analytic task
- Evaluate key data analytics methods; apply this knowledge in writing analytic plan
- Critically evaluate models against the given business task
- Summarise results of analysis and recommendations in a report and defend the report in discussion
- Use modern analytics software tools to solve real world problems
Availability
Class details
Mawson Lakes
Class number 55903
Section SE01
Size 180
Available 180
Class number 55904
Section TU01
Size 30
Available 30
Class number 55905
Section TU02
Size 30
Available 30
Class number 55906
Section TU03
Size 30
Available 30
Class number 55907
Section TU04
Size 30
Available 30
Class number 52684
Section TU05
Size 30
Available 30
Class number 52685
Section TU06
Size 30
Available 30
Adelaide City Campus East
Class number 55908
Section SE01
Size 120
Available 117
Class number 55909
Section TU01
Size 30
Available 30
Class number 55910
Section TU02
Size 30
Available 28
Class number 55911
Section TU03
Size 30
Available 30
Class number 55912
Section TU04
Size 30
Available 29
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