ENTERPRISE BUSINESS INTELLIGENCE
BUS5EBI
2015
Credit points: 15
Subject outline
Business intelligence (BI) is a broad category of applications and technologies for gathering, storing, analysing data, and providing access to decision-making information to business managers in a range of business areas like accounting, finance, human resources, sales and marketing. OLAP (On-Line Analytical Processing) systems, as a means of providing BI are discussed. Students are introduced to intelligent data mining technologies and how they are used for finding useful information in enterprise information systems as well as analysis of patterns in data stored in databases. An emphasis is placed on business applications of data mining in areas like retail, banking and finance. A business intelligence tool will also be used to provide hands-on experience to the students.
School: La Trobe Business School
Credit points: 15
Subject Co-ordinator: Mei-Tai Chu
Available to Study Abroad Students: No
Subject year level: Year Level 5 - Masters
Exchange Students: No
Subject particulars
Subject rules
Prerequisites: N/A
Co-requisites: BUS5SBF or FIN5SBF, BUS5BIM, BUS5BID
Incompatible subjects: N/A
Equivalent subjects: N/A
Special conditions: N/A
Learning resources
Readings
| Resource Type | Title | Resource Requirement | Author and Year | Publisher |
|---|---|---|---|---|
| Readings | Business Intelligence: A Managerial Approach | Prescribed | Efraim Turban, Ramesh Sharda, Jay E. Aronson, David King, 2011 | PEARSON EDUCATION INC. |
| Readings | Business intelligence : making better decisions faster | Recommended | Vitt,E., Luckevich, M., Misner, S., 2002 | REDMOND WASH, MICROSOFT PRESS |
Graduate capabilities & intended learning outcomes
01. Critically identify the various definitions, concepts and frameworks of Enterprise Business Intelligence
- Activities:
- Lectures, Tutorials and Assessments
- Related graduate capabilities and elements:
- Discipline -Specific Knowledge and Skills(Discipline-Specific Knowledge and Skills)
02. Apply the methodology and techniques of Enterprise Business Intelligence systems in a team based context
- Activities:
- Lectures, Tutorials and Assessments
- Related graduate capabilities and elements:
- Inquiry and Analytical Skills(Critical Thinking,Creative Problem-solving)
- Inquiry and Analytical Skills(Critical Thinking,Creative Problem-solving)
- Discipline -Specific Knowledge and Skills(Discipline-Specific Knowledge and Skills)
03. Manage and measure the Key Success Factors in BI System to solve IT problems
- Activities:
- Lectures, Tutorials, and Assessments
- Related graduate capabilities and elements:
- Inquiry and Analytical Skills(Critical Thinking,Creative Problem-solving)
- Inquiry and Analytical Skills(Critical Thinking,Creative Problem-solving)
- Discipline -Specific Knowledge and Skills(Discipline-Specific Knowledge and Skills)
04. Apply SAS Enterprise Miner business intelligence tool to create business insights
- Activities:
- Lectures, Tutorials and Assessments
- Related graduate capabilities and elements:
- Inquiry and Analytical Skills(Critical Thinking,Creative Problem-solving)
- Inquiry and Analytical Skills(Critical Thinking,Creative Problem-solving)
- Personal and Professional Skills(Teamwork including leadership and working in groups)
- Discipline -Specific Knowledge and Skills(Discipline-Specific Knowledge and Skills)
Melbourne, 2015, Semester 1, Day
Overview
Online enrolment: Yes
Maximum enrolment size: N/A
Enrolment information:
Subject Instance Co-ordinator: Mei-Tai Chu
Class requirements
Laboratory ClassWeek: 10 - 22
One 1.0 hours laboratory class per week on weekdays during the day from week 10 to week 22 and delivered via face-to-face.
LectureWeek: 10 - 22
One 2.0 hours lecture other recurrence on weekdays during the day from week 10 to week 22 and delivered via face-to-face.
Assessments
| Assessment element | Comments | % | ILO* |
|---|---|---|---|
| class activities and assessment | equivalent to 1,000-words | 10 | 01, 02, 03, 04 |
| lab activities and assessment | equivalent to 1,000-words | 20 | 01, 02, 03, 04 |
| Group work ( 2,000-word assignment) | 20 | 01, 02, 03, 04 | |
| Mid Term Test | 20 | 01, 02, 03, 04 | |
| Final Test | 30 | 01, 02, 03, 04 |
Melbourne, 2015, Semester 2, Day
Overview
Online enrolment: Yes
Maximum enrolment size: N/A
Enrolment information:
Subject Instance Co-ordinator: Mei-Tai Chu
Class requirements
Laboratory ClassWeek: 31 - 43
One 1.0 hours laboratory class per week on weekdays during the day from week 31 to week 43 and delivered via face-to-face.
LectureWeek: 31 - 43
One 2.0 hours lecture other recurrence on weekdays during the day from week 31 to week 43 and delivered via face-to-face.
Assessments
| Assessment element | Comments | % | ILO* |
|---|---|---|---|
| class activities and assessment | equivalent to 1,000-words | 10 | 01, 02, 03, 04 |
| lab activities and assessment | equivalent to 1,000-words | 20 | 01, 02, 03, 04 |
| Group work ( 2,000-word assignment) | 20 | 01, 02, 03, 04 | |
| Mid Term Test | 20 | 01, 02, 03, 04 | |
| Final Test | 30 | 01, 02, 03, 04 |