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 TypeTitleResource RequirementAuthor and YearPublisher
ReadingsData Science for Business: What you need to know about data mining and data analytic thinkingRecommendedProvost and FawcettO'Reilly Media
ReadingsBusiness Intelligence and Analytics: Systems for Decision SupportRecommendedSharda, Delen and TurbanPrentice Hall
ReadingsThe Value of Business Analytics: Identifying the Path to ProfitabilityRecommendedStubbsWiley

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 elementComments%ILO*
Report, Business analytics in the industry3001
Assignment, Reporting and dashboarding using Cognos and Power BI4001, 02
Case study, analytics in BPM3003

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 elementComments%ILO*
Report, Business analytics in the industry3001
Assignment, Reporting and dashboarding using Cognos and Power BI4001, 02
Case study, analytics in BPM3003