Business Intelligence and Analytics AAI
Course Level Postgraduate
Course Level Postgraduate
Area/Catalogue
INFS 5110
Course Level
Postgraduate
Offered Externally
No
Course ID
160503
Unit Value
4.5
University-wide elective course
No
The 2025 timetable is
not yet available.
Course owner
UniSA STEM
Course Alert: This course is no longer available for enrolment
To introduce current technologies and methods in business intelligence (BI) and analytics, including the management of the delivery of information and analytics to support reporting and management decision making, particularly with respect to policy evaluation and development.
1) Motivation for BI
- The challenge of turbulent business environments: overview, major issues and needs for business intelligence and analytics.
- The need for analytics and data mining technologies in competitive business environments
2) Theory behind BI and Analytics
- The BI lifecycle model and development approaches, the costs, benefits, return on investment and user community.
- Business analytics and business performance management: linking strategy to execution, the link between corporate and BI strategy, differences between performance management and measurement.
- Privacy, ethical and legal issues.
3) Applied BI and analytics
- The components and comparison of various common and emerging BIA system architectures
- Data integration and the extraction, transformation, and load (ETL) processes, administration and security issues
- Data Warehouse modelling and implementation success factors.
- Review of contemporary BI applications in various industries;
- Market basket analysis need for analytics and data mining and association rule mining.
- Modelling customer behaviours and predictions.
- Clustering analysis and outlier detections.
- Use of BI and analytics tools in data analysis and knowledge discovery.
4) Application of BI and analytics to policy evaluation and development.
Nil
Nil
Subject Area & Catalogue Number | Course Name |
---|---|
Group 1
These courses are designed to be taken together as part of an Employer Reserve program. |
|
INFS 5109 | Big Data Basics AAI |
MATH 5046 | Statistics for Data Science AAI |
INFS 5111 | Relational Databases and Warehouses AAI |
Component | Duration | ||
---|---|---|---|
INTERNAL, CITY WEST | |||
The course will be scheduled outside of the timetabling system, using the contract with AAI to determine the activities and schedule. | 4 hours x 13 weeks |
Note: These components may or may not be scheduled in every study period. Please refer to the timetable for further details.
Assignment 1, Assignment 2, Continuous assessment, Project
EFTSL*: 0.125
Commonwealth Supported program (Band 2)
To determine the fee for this course as part of a Commonwealth Supported program, go to:
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Fee-paying program for domestic and international students
International students and students undertaking this course as part of a postgraduate fee paying program must refer to the relevant program home page to determine the cost for undertaking this course.
Non-award enrolment
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* Equivalent Full Time Study Load. Please note: all EFTSL values are published and calculated at ten decimal places. Values are displayed to three decimal places for ease of interpretation.