DISRUPTION IN BUSINESS

BUS1DIB

2019

Credit points: 15

Subject outline

Traditional business models are being disrupted by numerous factors.  Chief among them are new technologies that change how businesses operate.  One commonality observed among these disruptive trends is the role of data.  Data has become a highly valued business asset, forming a strong foundation to high quality decision processes.  This subject will introduce you to the role of data in disrupting traditional business operations and formulating business strategy.  You will gain an appreciation of how data can be turned into business insights through a process called analytics, using examples across a range of business problems.  On completion of this subject, you will appreciate the pivotal role that data and analytics play in various strategic initiatives within organisations, and the strategies that link analytics to business performance while balancing issues such as ethical and data governance.

SchoolLa Trobe Business School

Credit points15

Subject Co-ordinatorShalinka Jayatilleke

Available to Study Abroad StudentsYes

Subject year levelYear Level 1 - UG

Exchange StudentsYes

Subject particulars

Subject rules

PrerequisitesN/A

Co-requisitesN/A

Incompatible subjectsN/A

Equivalent subjectsN/A

Special conditionsN/A

Graduate capabilities & intended learning outcomes

01. Explain the role of data and analytics in disrupting traditional business models.

Activities:
Enquiry based learning class room activities, discussions and essay writing.
Related graduate capabilities and elements:
Literacies and Communication Skills (Writing,Quantitative Literacy)
Inquiry and Analytical Skills (Creative Problem-solving,Inquiry/Research)
Personal and Professional Skills (Ethical behaviour,Adaptability Skills,Study and Learning Skills)
Personal and Professional Skills (Ethical behaviour,Adaptability Skills,Study and Learning Skills)

02. Understand the value of analytics from various case examples across key business functions and industries.

Activities:
Experiential exercises, simulations.
Related graduate capabilities and elements:
Literacies and Communication Skills (Writing,Quantitative Literacy)
Literacies and Communication Skills (Writing,Quantitative Literacy)
Inquiry and Analytical Skills (Creative Problem-solving,Inquiry/Research)
Personal and Professional Skills (Ethical behaviour,Adaptability Skills,Study and Learning Skills)

03. Recognise the importance of data ethics and governance to business success and longevity.

Activities:
Enquiry based learning class room activities, peer feedback activities, individual written essay.
Related graduate capabilities and elements:
Inquiry and Analytical Skills (Creative Problem-solving,Inquiry/Research)
Personal and Professional Skills (Ethical behaviour,Adaptability Skills,Study and Learning Skills)
Discipline -Specific Knowledge and Skills (Discipline-Specific Knowledge and Skills)

04. Discuss how business performance management can be linked to any data strategy and data analytics initiatives.

Activities:
Case studies, discussions and essay writing.
Related graduate capabilities and elements:
Literacies and Communication Skills (Writing,Quantitative Literacy)
Literacies and Communication Skills (Writing,Quantitative Literacy)
Inquiry and Analytical Skills (Creative Problem-solving,Inquiry/Research)
Inquiry and Analytical Skills (Creative Problem-solving,Inquiry/Research)
Personal and Professional Skills (Ethical behaviour,Adaptability Skills,Study and Learning Skills)

Subject options

Select to view your study options…

Start date between: and    Key dates

Melbourne, 2019, Semester 1, Blended

Overview

Online enrolmentYes

Maximum enrolment sizeN/A

Enrolment information

Subject Instance Co-ordinatorShalinka Jayatilleke

Class requirements

WorkShop Week: 10 - 22
One 2.0 hours workshop per week on weekdays during the day from week 10 to week 22 and delivered via face-to-face.
"In addition, students are expected to undertake between 1-3 hours of learning and assessment activities each week prior to class."

Assessments

Assessment elementComments% ILO*
Self-reflection report on the role of analytics in business (1,000-words).Individual Assignment30 01, 02
Weekly exercises1,000-words equivalent30 01, 02, 03, 04
2,000-word report proposing a solution to disruption to a traditional businessIndividual Assignment40 01, 02, 03, 04

Melbourne, 2019, Semester 2, Blended

Overview

Online enrolmentYes

Maximum enrolment sizeN/A

Enrolment information

Subject Instance Co-ordinatorShalinka Jayatilleke

Class requirements

WorkShop Week: 31 - 43
One 2.0 hours workshop per week on weekdays during the day from week 31 to week 43 and delivered via face-to-face.
"In addition, students are expected to undertake between 1-3 hours of learning and assessment activities each week prior to class."

Assessments

Assessment elementComments% ILO*
Self-reflection report on the role of analytics in business (1,000-words).Individual Assignment30 01, 02
Weekly exercises1,000-words equivalent30 01, 02, 03, 04
2,000-word report proposing a solution to disruption to a traditional businessIndividual Assignment40 01, 02, 03, 04