bus5pb principles of business analytics
PRINCIPLES OF BUSINESS ANALYTICS
BUS5PB
2018
Credit points: 15
Subject outline
BUS5PB introduces you to business and data analytics with a strong focus on practical outcomes that are directly applicable to business contexts. It delivers a comprehensive understanding of current theories, frameworks, applications and technologies that support modern data-driven decision-making process. You will gain hands-on experience in IBM Cognos, SAP Lumira and Microsoft Power BI to design and develop analytics solutions. The subject focuses on key descriptive analytics topics, data wrangling, text processing and data ethics. Industry-based guest lectures will present fresh perspectives on the managerial role in planning and implementing business analytics initiatives and the emerging role of analytics in business performance management. Upon completion, you will be able to transform business problems into analytics solutions, understand key issues,analytics frameworks, techniques, determine business value of analytics outcomes and appreciate its role in BPM.
SchoolLa Trobe Business School
Credit points15
Subject Co-ordinatorDaswin De Silva
Available to Study Abroad StudentsNo
Subject year levelYear Level 5 - Masters
Exchange StudentsNo
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 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 | The Value of Business Analytics: Identifying the Path to Profitability | Recommended | Stubbs | Wiley |
Graduate capabilities & intended learning outcomes
01. Examine the purpose and importance of analytics within a business environment, alongside implications for technologies, workflows, participation and management.
- Activities:
- Lectures, Workshops and Assignments1 &2
- 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. Analyse and evaluate the function of key elements of a typical analytics solution; technology infrastructure, data architecture, data management, analytics methodologies, analytics techniques, reports, dashboards, responsibilities of groups and individuals within the business environment.
- Activities:
- Lectures, Workshops and Assignment 2
- 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. Evaluate requirements, methodologies and technologies for analytics-based business performance management.
- Activities:
- Lectures, Workshops and Assignment 3
- 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
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City Campus, 2018, Semester 1, Night
Overview
Online enrolmentYes
Maximum enrolment sizeN/A
Enrolment information
Subject Instance Co-ordinatorDaswin De Silva
Class requirements
Lecture/WorkshopWeek: 10 - 22
One 3.0 hours lecture/workshop per week on weekdays at night from week 10 to week 22 and delivered via face-to-face.
Assessments
| Assessment element | Comments | % | ILO* |
|---|---|---|---|
| Self-service analytics solution development (Word equivalency: 2300 words) | 40 | 01 | |
| Application of analytics design approaches (Word equivalency: 2100 words) | 30 | 01, 02 | |
| Analysis of data-driven decision-making (Word equivalency: 2100 words) | 30 | 03 |
City Campus, 2018, Semester 2, Night
Overview
Online enrolmentYes
Maximum enrolment sizeN/A
Enrolment information
Subject Instance Co-ordinatorWei Peng
Class requirements
Lecture/WorkshopWeek: 31 - 43
One 3.0 hours lecture/workshop per week on weekdays at night from week 31 to week 43 and delivered via face-to-face.
Assessments
| Assessment element | Comments | % | ILO* |
|---|---|---|---|
| Self-service analytics solution development (Word equivalency: 2300 words) | 40 | 01 | |
| Application of analytics design approaches (Word equivalency: 2100 words) | 30 | 01, 02 | |
| Analysis of data-driven decision-making (Word equivalency: 2100 words) | 30 | 03 |