bus5ebi enterprise business intelligence
ENTERPRISE BUSINESS INTELLIGENCE
BUS5EBI
2019
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. Business analytics and decision support systems, as important components related to BI are discussed. You will be 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. The commonly adopted 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 Approach | Prescribed | Ramesh Sharda, Dursun Delen, Efraim Turban, 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. Apply 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. Integrate 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. Effectively use SAS Enterprise Minor business intelligence tool adopted largely 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
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Melbourne, 2019, Semester 1, Day
Overview
Online enrolmentYes
Maximum enrolment sizeN/A
Enrolment information
Subject Instance Co-ordinatorMei-Tai Chu
Class requirements
LectureWeek: 10 - 22
One 2.0 hours lecture per week on weekdays during the day from week 10 to week 22 and delivered via face-to-face.
Computer LaboratoryWeek: 10 - 22
One 1.0 hours computer laboratory per week on weekdays during the day from week 10 to week 22 and delivered via face-to-face.
Assessments
| Assessment element | Comments | % | ILO* |
|---|---|---|---|
| Class and Lab assessment (equivalent to 1,000-words, individual assessment) | 15 | 01, 02, 03, 04 | |
| One Group assignment and presentation (2,500-words per student) | 45 | 01, 02, 03, 04 | |
| One Final test (individual assessment, 40 min test) (1,800-words equivalent per student) | 40 | 01, 02, 03, 04 |
Melbourne, 2019, Semester 2, Day
Overview
Online enrolmentYes
Maximum enrolment sizeN/A
Enrolment information
Subject Instance Co-ordinatorMei-Tai Chu
Class requirements
Computer LaboratoryWeek: 31 - 43
One 1.0 hours computer laboratory 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 per week on weekdays during the day from week 31 to week 43 and delivered via face-to-face.
Assessments
| Assessment element | Comments | % | ILO* |
|---|---|---|---|
| Class and Lab assessment (equivalent to 1,000-words, individual assessment) | 15 | 01, 02, 03, 04 | |
| One Group assignment and presentation (2,500-words per student) | 45 | 01, 02, 03, 04 | |
| One Final test (individual assessment, 40 min test) (1,800-words equivalent per student) | 40 | 01, 02, 03, 04 |