LEO5303 · Data analytics and insights generation

Overview

Business intelligence techniques empower today's managers to adopt a 'detective' mindset as they strive to make use of vast amounts of data. Using commonly available tools such as Power BI and Generative AI, managers can apply a range of powerful analytical techniques to support decision making and develop valuable insights. To produce such insights that address real-world challenges, data-fluent managers need basic skills in how to use these tools across the data analytics cycle, particularly within the processes of data identification, data exploration and data analysis. This unit equips managers with an understanding of two of the most relevant and commonly used managerial analytics tools. Specifically, the unit highlights the use of Power BI and Generative AI to produce and communicate analytical outputs. These tools can be used throughout the data analytics life cycle. This unit will focus on their use for data identification, exploration, and analysis, providing data-fluent managers with the ability to create their own findings and communicate the insights they generate.

Offerings

Assessment

The Handbook does not list a final examination among the assessment items. That is not a guarantee there is none.

Assessment details may change. Please refer to the assessment information in Moodle closer to the start of the teaching period.

Requisites

The Handbook lists no prerequisite, corequisite or prohibition for this unit.

Learning outcomes

1. use Power BI to engage with datasets spanning various data sources, data types, and data structures
2. demonstrate the ability to analyse data using Power BI and Generative AI resulting in meaningful findings
3. apply a detective mindset to interrogate datasets and generate actionable insights
4. demonstrate the ability to communicate findings and insights derived from analyses.

Workload

Minimum total expected workload to achieve the learning outcomes for this unit is 144 hours per semester typically comprising a mixture of scheduled learning activities and independent study. Independent study may include associated readings, assessment and preparation for scheduled activities. You are expected to complete all pre-class activities prior to your scheduled class, and post-class activities should be completed after your scheduled class. Learning activities may include a combination of teacher directed, peer directed and online engagement activities.

Student experience, not official rules. Nothing here changes what the Handbook says.