PRINCIPLES OF BUSINESS ANALYTICS

BUS5PB

2020

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.

School: La Trobe Business School (Pre 2022)

Credit points: 15

Subject Co-ordinator: Kok-Leong Ong

Available to Study Abroad/Exchange Students: No

Subject year level: Year Level 5 - Masters

Exchange Students: No

Available as Elective: No

Learning Activities: N/A

Capstone subject: No

Subject particulars

Subject rules

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

Co-requisites: N/A

Incompatible subjects: N/A

Equivalent subjects: N/A

Quota Management Strategy: Merit based quota management

Quota-conditions or rules: By the order of application to subject coordinator.

Special conditions: N/A

Minimum credit point requirement: N/A

Assumed knowledge: N/A

Learning resources

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

Resource Type: Book

Resource Requirement: Recommended

Author: Provost and Fawcett

Year: N/A

Edition/Volume: N/A

Publisher: O'Reilly Media

ISBN: 978 144 936 1327

Chapter/article title: N/A

Chapter/issue: N/A

URL: N/A

Other description: N/A

Source location: N/A

The Value of Business Analytics: Identifying the Path to Profitability

Resource Type: Book

Resource Requirement: Recommended

Author: Stubbs

Year: N/A

Edition/Volume: N/A

Publisher: Wiley

ISBN: 978 111 801 2390

Chapter/article title: N/A

Chapter/issue: N/A

URL: N/A

Other description: N/A

Source location: N/A

Career Ready

Career-focused: No

Work-based learning: No

Self sourced or Uni sourced: N/A

Entire subject or partial subject: N/A

Total hours/days required: N/A

Location of WBL activity (region): N/A

WBL addtional requirements: N/A

Graduate capabilities & intended learning outcomes

Graduate Capabilities

COMMUNICATION - Communicating and Influencing

DISCIPLINE KNOWLEDGE AND SKILLS

INQUIRY AND ANALYSIS - Creativity and Innovation

INQUIRY AND ANALYSIS - Critical Thinking and Problem Solving

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.

City Campus, 2020, Semester 1, Night

Overview

Online enrolment: Yes

Maximum enrolment size: 120

Enrolment information: N/A

Subject Instance Co-ordinator: Kok-Leong Ong

Class requirements

Lecture/WorkshopWeek: 10 - 22
One 3.00 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	Category	Contribution	Hurdle	%	ILO*
Self-service analytics solution development2500 word equivalency	N/A	N/A	N/A	No	40	SILO1
Application of analytics design approaches2000 word equivalency	N/A	N/A	N/A	No	30	SILO1, SILO2
Analysis of data-driven decision-making2000 word equivalency	N/A	N/A	N/A	No	30	SILO1, SILO2, SILO3

City Campus, 2020, Semester 2, Night

Overview

Online enrolment: Yes

Maximum enrolment size: 120

Enrolment information: N/A

Subject Instance Co-ordinator: Kok-Leong Ong

Class requirements

Lecture/WorkshopWeek: 31 - 43
One 3.00 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	Category	Contribution	Hurdle	%	ILO*
Self-service analytics solution development2500 word equivalency	N/A	N/A	N/A	No	40	SILO1
Application of analytics design approaches2000 word equivalency	N/A	N/A	N/A	No	30	SILO1, SILO2
Analysis of data-driven decision-making2000 word equivalency	N/A	N/A	N/A	No	30	SILO1, SILO2, SILO3

City Campus, 2020, LTU Term 5, Night

Overview

Online enrolment: Yes

Maximum enrolment size: N/A

Enrolment information: N/A

Subject Instance Co-ordinator: Kok-Leong Ong

Class requirements

Lecture/SeminarWeek: 37 - 42
One 3.00 hours lecture/seminar per week on weekdays at night from week 37 to week 42 and delivered via blended.

Assessments

Assessment element	Comments	Category	Contribution	Hurdle	%	ILO*
Self-service analytics solution development2500 word equivalency	N/A	N/A	N/A	No	40	SILO1
Application of analytics design approaches2000 word equivalency	N/A	N/A	N/A	No	30	SILO1, SILO2
Analysis of data-driven decision-making2000 word equivalency	N/A	N/A	N/A	No	30	SILO1, SILO2, SILO3