ETW3483 Enterprise analytics
Faculty of Business and Economics
ETW3483 Enterprise analytics is a level 3, 6-credit-point, undergraduate unit from the Faculty of Business and Economics, offered in 2020 in Semester 1 at Malaysia. It has no prerequisites.
- Credit points
- 6
- Offered in 2020
- Semester 1
- Malaysia
- Workload
- 144 hours
- per semester
This is the 2020 handbook entry. See the 2027 entry.
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Requisites
Before ETW3483
No prerequisites or corequisites besides the enrolment rules below.
After ETW3483
No unit lists ETW3483 as a prerequisite in the 2020 handbook.
Enrolment rules
Students must have completed 12 credit points of any second year level unit in any discipline.
Overview
Data smart companies are capitalising on big data to enrich offerings to the consumers. Embracing and managing data is hence an essential prerequisite for creating a competitive advantage in the digital knowledge economy. This unit will introduce students to the data warehouse architecture and business process integration in an enterprise context. Students will learn essential statistical methods of business intelligence and machine learning to leverage data as a strategic asset for better business decisions. These methods include classical and modern descriptive and predictive analytics. Students will be able to understand business issues, perform data wrangling, recognise trends or patterns, apply hands-on analysis, and communicate insights for business applications.
Offerings in 2020
| Teaching period | Campus | Mode |
|---|---|---|
| First semester | Malaysia | On campus |
Learning outcomes
When you finish this unit, you should be able to:
- 1
understand the data warehouse architecture and business process integration in an enterprise context
- 2
apply data visualisation techniques to describe business intelligence
- 3
perform appropriate statistical analysis using machine learning methods to explore, estimate, and predict on business applications
- 4
develop communication skills to recommend results-based insights.
Workload and teaching
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. The unit requires on average three/four hours of scheduled activities per week. Scheduled activities may include a combination of teacher directed learning, peer directed learning and online engagement.
Where it fits
ETW3483 is part of 2 areas of study in the 2020 handbook.
Contacts
- Chief Examiners
- Dr Ewilly Liew
Common questions
What are the prerequisites for ETW3483?
ETW3483 has no prerequisites, but enrolment rules apply.
When is ETW3483 offered?
In 2020, ETW3483 runs in Semester 1 at Malaysia.
How much work is ETW3483?
The handbook expects about 144 hours of study across the semester. No students have rated its difficulty yet.
Which majors and minors include ETW3483?
ETW3483 is part of Business analytics.