LEO5301 · Decision making for managers

Overview

Managers must make complex decisions to enable organisational success. Digital transformation and the ongoing emergence of game changing technologies, such as Generative AI, challenges managers to maintain currency in data management. Moreover, the abundance of data generated by organisations can be confronting for managers and particularly challenging when seeking to use data to optimise decision making. This unit is designed for forward-thinking managers who aspire to improve their data literacy so they can confidently engage with the challenges posed by data analytics now and in the future. This unit introduces a data analytics cycle and a range of analytics tools for managers to harness the power of data. Specifically, this unit focusses on analytics tools for analysis, visualisation, ideation, and extension via generative AI. The unit also provides instruction on how these tools can be used to generate insights for the sense making, storytelling and envisioning required of future-focused leaders who engage managerial analytics.

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

Learning outcomes

1. apply a data analytics cycle to inform and enhance organisational decision making
2. recognise opportunities and limitations of data analytics and how these can be managed for effective managerial decision making
3. appraise analytical tools in managerial analytics that aid in data analysis, visualisation, generative AI, sense-making, and storytelling to harness data effectively.

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.