BUS5PB
PRINCIPLES OF BUSINESS ANALYTICS
BUS5PB
2016
Credit points: 15
Subject outline
This subject introduces you to the broad field of business analytics with a strong focus on practical outcomes that are directly applicable to a business environment. It will deliver a comprehensive understanding of current theories, frameworks, applications and technologies that support the modern data-driven decision-making process. You will gain hands-on experience in SAP Lumira, IBM Cognos Insight and Microsoft Power BI as you will use these software packages to design and develop analytics solutions for business problems. The managerial role in planning and implementing business analytics initiatives, methods to capture and measure the business value of analytics and the emerging role of analytics in business performance management (BPM) are also explored in this subject. Upon completion of this subject, you will be able to identify business problems that can be transformed using analytics solutions, understand major issues in implementation, describe the tools from frameworks to techniques, determine business value of analytics outcomes and also appreciate its role in BPM.
SchoolLa Trobe Business School
Credit points15
Subject Co-ordinatorDaswin De Silva
Available to Study Abroad StudentsYes
Subject year levelYear Level 5 - Masters
Exchange StudentsYes
Subject particulars
Subject rules
Prerequisites N/A
Co-requisites BUS5BIM and BUS5MMS and BUS5AFS
Incompatible subjects N/A
Equivalent subjects N/A
Special conditionsN/A
Learning resources
Readings
| Resource Type | Title | Resource Requirement | Author and Year | Publisher |
|---|---|---|---|---|
| Readings | Data Science for Business: What you need to know about data mining and data analytic thinking | Recommended | Provost and Fawcett | O'Reilly Media |
| Readings | Business Intelligence and Analytics: Systems for Decision Support | Recommended | Sharda, Delen and Turban | Prentice Hall |
| Readings | The Value of Business Analytics: Identifying the Path to Profitability | Recommended | Stubbs | Wiley |
Graduate capabilities & intended learning outcomes
01. Identify the purpose of analytics within a business environment, and describe the importance, technologies and implementation issues of business analytics.
- Activities:
- Lectures and Workshops
- Related graduate capabilities and elements:
- Inquiry and Analytical Skills(Critical Thinking,Creative Problem-solving)
- Discipline -Specific Knowledge and Skills(Discipline-Specific Knowledge and Skills)
02. Understand the function of key elements of a typical analytics solution; the architecture, data management, data analytics, reports and dashboards, as well as the role of management and end-users.
- Activities:
- Lectures, Workshops and Assignments
- Related graduate capabilities and elements:
- Literacies and Communication Skills(Writing)
- Inquiry and Analytical Skills(Critical Thinking,Creative Problem-solving)
- Discipline -Specific Knowledge and Skills(Discipline-Specific Knowledge and Skills)
03. Recognise the requirements, methodologies and technologies for analytics-based business performance management.
- Activities:
- Lectures and Workshops
- Related graduate capabilities and elements:
- Inquiry and Analytical Skills(Critical Thinking,Creative Problem-solving)
- Discipline -Specific Knowledge and Skills(Discipline-Specific Knowledge and Skills)
Subject options
Select to view your study options…
City Campus, 2016, Semester 1, Night
Overview
Online enrolmentYes
Maximum enrolment sizeN/A
Enrolment information
Subject Instance Co-ordinatorKok-Leong Ong
Class requirements
Lecture/WorkshopWeek: 10 - 22
One 3.0 hours lecture/workshop per week at night from week 10 to week 22 and delivered via face-to-face.
Assessments
| Assessment element | Comments | % | ILO* |
|---|---|---|---|
| Report, Business analytics in the industry | This assessment is similar to a 'report on statistical/data analysis' (word count not directly applicable; broadly equivalent to 1500) | 30 | 01 |
| Assignment, Reporting and dashboarding using Cognos and Power BI | This assessment is similar to a 'report on statistical/data analysis' (word count not directly applicable; broadly equivalent to 2000) | 40 | 01, 02 |
| Case study, analytics in BPM | 1500 - 2500 words | 30 | 03 |
City Campus, 2016, Semester 2, Night
Overview
Online enrolmentYes
Maximum enrolment sizeN/A
Enrolment information
Subject Instance Co-ordinatorKok-Leong Ong
Class requirements
Lecture/PracticalWeek: 31 - 43
One 3.0 hours lecture/practical per week on weekdays at night from week 31 to week 43 and delivered via face-to-face.
Assessments
| Assessment element | Comments | % | ILO* |
|---|---|---|---|
| Report, Business analytics in the industry | This assessment is similar to a 'report on statistical/data analysis' (word count not directly applicable; broadly equivalent to 1500) | 30 | 01 |
| Assignment, Reporting and dashboarding using Cognos and Power BI | This assessment is similar to a 'report on statistical/data analysis' (word count not directly applicable; broadly equivalent to 2000) | 40 | 01, 02 |
| Case study, analytics in BPM | 1500 - 2500 words | 30 | 03 |
City Campus, 2016, Summer, Day
Overview
Online enrolmentYes
Maximum enrolment sizeN/A
Enrolment information
Subject Instance Co-ordinatorDaswin De Silva
Class requirements
Lecture/WorkshopWeek: 48 - 48
One 7.0 hours lecture/workshop per day on weekdays during the day from week 48 to week 48 and delivered via online.
Assessments
| Assessment element | Comments | % | ILO* |
|---|---|---|---|
| Report, Business analytics in the industry | This assessment is similar to a 'report on statistical/data analysis' (word count not directly applicable; broadly equivalent to 1500) | 30 | 01 |
| Assignment, Reporting and dashboarding using Cognos and Power BI | This assessment is similar to a 'report on statistical/data analysis' (word count not directly applicable; broadly equivalent to 2000) | 40 | 01, 02 |
| Case study, analytics in BPM | 1500 - 2500 words | 30 | 03 |