PRINCIPLES OF BUSINESS ANALYTICS

BUS5PB

2021

Credit points: 15

Subject outline

This subject 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 introducing 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-ordinatorKok-Leong Ong

Available to Study Abroad/Exchange StudentsNo

Subject year levelYear Level 5 - Masters

Available as ElectiveNo

Learning ActivitiesLectures, Workshop activities and assessments

Capstone subjectNo

Subject particulars

Subject rules

Prerequisites Students must be admitted in one of the following courses: LMBAN, LCBAN, LGBAN, LMMBA, LMMBAA, LMMBAO, LMPABA, SMDS, HMDH

Co-requisitesN/A

Incompatible subjectsN/A

Equivalent subjectsN/A

Quota Management StrategyMerit based quota management

Quota-conditions or rulesBy the order of application to subject coordinator.

Special conditionsN/A

Minimum credit point requirementN/A

Assumed knowledgeN/A

Readings

The Value of Business Analytics: Identifying the Path to Profitability

Resource TypeRecommended

Resource RequirementN/A

AuthorStubbs

Year2011

Edition/VolumeN/A

PublisherWiley & Sons

ISBN978 111 801 2390

Chapter/article titleN/A

Chapter/issueN/A

URLN/A

Other descriptionN/A

Source locationN/A

Data Science for Business: What you need to know about data mining and data analytic thinking

Resource TypeRecommended

Resource RequirementN/A

AuthorProvost and Fawcett

Year2013

Edition/VolumeN/A

PublisherO'Reilly Media

ISBN978 144 936 1327

Chapter/article titleN/A

Chapter/issueN/A

URLN/A

Other descriptionN/A

Source locationN/A

Career Ready

Career-focusedYes

Work-based learningNo

Self sourced or Uni sourcedN/A

Entire subject or partial subjectN/A

Total hours/days requiredN/A

Location of WBL activity (region)N/A

WBL addtional requirementsN/A

Graduate capabilities & intended learning outcomes

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.
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.
03. Evaluate requirements, methodologies and technologies for analytics-based business performance management.

Subject options

Select to view your study options…

Start date between: and    Key dates

City Campus, 2021, Semester 1, Night

Overview

Online enrolmentYes

Maximum enrolment size120

Subject Instance Co-ordinatorKok-Leong Ong

Class requirements

Lecture/WorkshopWeek: 10 - 22
One 3.00 h lecture/workshop per week on weekdays at night from week 10 to week 22 and delivered via face-to-face.

Assessments

Assessment elementCommentsCategoryContributionHurdle% ILO*

Self-service analytics solution development 2500 word equivalency

N/AOtherIndividualNo40 SILO1

Application of analytics design approaches 2000 word equivalency

N/AOtherIndividualNo30 SILO1, SILO2

Analysis of data-driven decision-making 2000 word equivalency

N/AOtherIndividualNo30 SILO1, SILO2, SILO3

City Campus, 2021, Semester 2, Night

Overview

Online enrolmentYes

Maximum enrolment size120

Subject Instance Co-ordinatorKok-Leong Ong

Class requirements

Lecture/WorkshopWeek: 31 - 43
One 3.00 h lecture/workshop per week on weekdays at night from week 31 to week 43 and delivered via face-to-face.

Assessments

Assessment elementCommentsCategoryContributionHurdle% ILO*

Self-service analytics solution development 2500 word equivalency

N/AOtherIndividualNo40 SILO1

Application of analytics design approaches 2000 word equivalency

N/AOtherIndividualNo30 SILO1, SILO2

Analysis of data-driven decision-making 2000 word equivalency

N/AOtherIndividualNo30 SILO1, SILO2, SILO3

City Campus, 2021, LTU Term 1, Night

Overview

Online enrolmentYes

Maximum enrolment sizeN/A

Subject Instance Co-ordinatorKok-Leong Ong

Class requirements

Lecture/WorkshopWeek: 2 - 7
Two 3.00 h lecture/workshop per week on weekdays at night from week 2 to week 7 and delivered via blended.

Assessments

Assessment elementCommentsCategoryContributionHurdle% ILO*

Self-service analytics solution development 2500 word equivalency

N/AOtherIndividualNo40 SILO1

Application of analytics design approaches 2000 word equivalency

N/AOtherIndividualNo30 SILO1, SILO2

Analysis of data-driven decision-making 2000 word equivalency

N/AOtherIndividualNo30 SILO1, SILO2, SILO3