Units / LEX5104
LEX5104 · Enterprise analytics
2026 Handbook6 credit pointsLevel 5Monash Business School of Executive Education
Last checked: 23 Aug 2026 UTCOverview
The modern organisation generates a significant amount of data which is used to enhance decision making and improve ESG (environmental, social, governance) performance. Implementing analytics across an enterprise should establish a data-driven environment using the right tools and platforms to convert data into meaningful information for the right end users. This unit explores how contemporary business intelligence, data analytics and reporting capabilities (e.g., Excel, Power BI, Tableau) can be used effectively to communicate actionable insights to stakeholders. You will consider the strategic and technical considerations of designing, delivering and utilising a successful enterprise analytics solution for today’s global challenges.
Offerings
| Campus | Teaching period | Mode |
|---|---|---|
| Caulfield | Winter semester | Teaching is held online, in the evening and in a block period (ONL-EV-BLK) |
| Caulfield | Winter semester | Activities scheduled as a mix of on-campus and online evening activities in a block (BLD-BLK-EV) |
Assessment
The Handbook does not list a final examination among the assessment items. That is not a guarantee there is none.
| # | Assessment | Type | Weight | Hurdle |
|---|---|---|---|---|
| 1 | 1 - Written | Written | 100% | — |
Assessment details may change. Please refer to the assessment information in Moodle closer to the start of the teaching period.
Requisites
prohibitions
- LEO5104 — Enterprise analytics
Learning outcomes
- demonstrate an understanding of the strategies and challenges of implementing an enterprise analytics solution
- recognise the types of data analytics in an organisation and how these can inform decision making and address business problems
- develop and understand data storytelling skills combined with analytical resources to foster a data-driven enterprise
- identify and critically evaluate the frameworks, tools and applications that can be used in an enterprise setting to deliver actionable reporting and insights.
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.
| Activity | Duration |
|---|---|
| Workshops | 24 hours |
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