bus5ebi enterprise busins intelligence
ENTERPRISE BUSINESS INTELLIGENCE
BUS5EBI
2016
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.
SchoolLa Trobe Business School
Credit points15
Subject Co-ordinatorMei-Tai Chu
Available to Study Abroad StudentsNo
Subject year levelYear Level 5 - Masters
Exchange StudentsNo
Subject particulars
Subject rules
PrerequisitesN/A
Co-requisites BUS5SBF or FIN5SBF, BUS5BIM, BUS5BID
Incompatible subjectsN/A
Equivalent subjectsN/A
Special conditionsN/A
Learning resources
Readings
| Resource Type | Title | Resource Requirement | Author and Year | Publisher |
|---|---|---|---|---|
| Readings | Business Intelligence: A Managerial Perspective on Analytics | Prescribed | Efraim Turban, Ramesh Sharda, Dursun Delen, 2014 | 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. Understand the definition, concept and framework 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. Learn the methodology and techniques of Enterprise Business Intelligence systems
- 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. Management and measurement of Key Success Factors in BI System
- 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. Understand and familiarise with SAS Enterprise Miner business intelligence tool used in industry
- 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,Ethical behaviour)
- Personal and Professional Skills(Teamwork including leadership and working in groups,Ethical behaviour)
- Discipline -Specific Knowledge and Skills(Discipline-Specific Knowledge and Skills)
Subject options
Select to view your study options…
Melbourne, 2016, Semester 1, Day
Overview
Online enrolmentYes
Maximum enrolment sizeN/A
Enrolment information
Subject Instance Co-ordinatorMei-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 (individual) | equivalent to 1,000-words | 10 | 01, 02, 03, 04 |
| lab activities and assessment (individual) | equivalent to 1,000-words | 20 | 01, 02, 03, 04 |
| one 2,000-word assignment (Group) | 3-5 per group | 30 | 01, 02, 03, 04 |
| Mid-term test (20 min) plus Final test (30 min) | 40 | 01, 02, 03, 04 |
Melbourne, 2016, Semester 2, Day
Overview
Online enrolmentYes
Maximum enrolment sizeN/A
Enrolment information
Subject Instance Co-ordinatorMei-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 (individual) | equivalent to 1,000-words | 10 | 01, 02, 03, 04 |
| lab activities and assessment (individual) | equivalent to 1,000-words | 20 | 01, 02, 03, 04 |
| one 2,000-word assignment (Group) | 3-5 per group | 30 | 01, 02, 03, 04 |
| Mid-term test (20 min) plus Final test (30 min) | 40 | 01, 02, 03, 04 |