PRINCIPLES OF BUSINESS ANALYTICS
BUS5PB
2017
Credit points: 15
Subject outline
This unit introduces students 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. Students will gain hands-on experience in IBM Cognos and Microsoft Power BI as they will use these software packages to design and develop analytics solutions for diverse 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 unit. Upon completion of this unit, students 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.
School: La Trobe Business School
Credit points: 15
Subject Co-ordinator: Daswin De Silva
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: BUS5BIM or BUS5SMM or BUS5IAF; OR enrolled in Course SMCYB
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 | 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)
City Campus, 2017, Semester 1, Night
Overview
Online enrolment: Yes
Maximum enrolment size: N/A
Enrolment information:
Subject Instance Co-ordinator: Kok-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 | 30 | 01 | |
| Assignment, Reporting and dashboarding using Cognos and Power BI | 40 | 01, 02 | |
| Case study, analytics in BPM | 30 | 03 |
City Campus, 2017, Semester 2, Night
Overview
Online enrolment: Yes
Maximum enrolment size: N/A
Enrolment information:
Subject Instance Co-ordinator: Wei Peng
Class requirements
Lecture/WorkshopWeek: 31 - 43
One 3.0 hours lecture/workshop per week 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 | 30 | 01 | |
| Assignment, Reporting and dashboarding using Cognos and Power BI | 40 | 01, 02 | |
| Case study, analytics in BPM | 30 | 03 |