bus5ap analytics in practice

ANALYTICS IN PRACTICE

BUS5AP

2016

Credit points: 15

Subject outline

This unit will bridge the business process with the mechanics and technical processes of analytics to enable actionable, meaningful and relevant solutions to be delivered in the appropriate business context. The focus will be on the various business processes, methodologies and techniques that you can apply to achieve an analytical outcome that meets the end-users' intentions and needs, as any analytics performed is only meaningful if the results addresses the business problem. It is also the capstone unit where you will undertake a project that allows all the various skills acquired in the course to be put to use in a real-world industry project. You will learn and experience first hand the end to end process of carrying out analytics to satisfy the three constraints: customer needs, business problem and technology thus, delivering relevant and actionable outcomes.

SchoolLa Trobe Business School

Credit points15

Subject Co-ordinatorKok-Leong Ong

Available to Study Abroad StudentsYes

Subject year levelYear Level 5 - Masters

Exchange StudentsYes

Subject particulars

Subject rules

Prerequisites N/A

Co-requisites BUS5PA, BUS5VA

Incompatible subjects N/A

Equivalent subjects N/A

Special conditions N/A

Learning resources

Readings

Resource TypeTitleResource RequirementAuthor and YearPublisher
ReadingsAnalytics in PracticeRecommendedMohanty, 2011Tata McGraw-Hill Education Private Limited
ReadingsA Practitioner's Guide to Business Analytics: Using Data Analysis Tools to Improve Your Organisation's Decision Making and StrategyRecommendedBartlett, 2013McGraw-Hill
ReadingsDesigning for Growth: A Design Thinking Toolkit for ManagersRecommendedLiedtka and Ogilvie, 2011Columbia University Press

Graduate capabilities & intended learning outcomes

01. Understanding and appreciation of the various business processes, methodologies and techniques available for applying analytics in a business context

Activities:
Lectures and workshops
Related graduate capabilities and elements:
Inquiry and Analytical Skills(Critical Thinking,Creative Problem-solving,Inquiry/Research)
Inquiry and Analytical Skills(Critical Thinking,Creative Problem-solving,Inquiry/Research)
Discipline -Specific Knowledge and Skills(Discipline-Specific Knowledge and Skills)

02. Demonstrate advanced problem and data analysis capability

Activities:
Lecture, workshops and assignments
Related graduate capabilities and elements:
Discipline -Specific Knowledge and Skills(Discipline-Specific Knowledge and Skills)

03. Demonstrate advanced capability with the application of analytics tools

Activities:
Lecture, workshops and assignments
Related graduate capabilities and elements:
Discipline -Specific Knowledge and Skills(Discipline-Specific Knowledge and Skills)

04. Dealt with data in an ethical manner

Activities:
Lecture, workshops and assignments
Related graduate capabilities and elements:
Personal and Professional Skills(Teamwork including leadership and working in groups,Ethical behaviour)

05. Clearly articulate the results to clients, and engage clients in a professional and productive manner

Activities:
Lecture, workshops and assignments
Related graduate capabilities and elements:
Literacies and Communication Skills(Writing,Speaking)
Literacies and Communication Skills(Writing,Speaking)
Inquiry and Analytical Skills(Critical Thinking,Creative Problem-solving,Inquiry/Research)
Inquiry and Analytical Skills(Critical Thinking,Creative Problem-solving,Inquiry/Research)
Inquiry and Analytical Skills(Critical Thinking,Creative Problem-solving,Inquiry/Research)
Personal and Professional Skills(Teamwork including leadership and working in groups,Ethical behaviour)
Personal and Professional Skills(Teamwork including leadership and working in groups,Ethical behaviour)
Discipline -Specific Knowledge and Skills(Discipline-Specific Knowledge and Skills)

Subject options

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Start date between: and    Key dates

City Campus, 2016, Semester 2, Night

Overview

Online enrolmentYes

Maximum enrolment size70

Enrolment information Limits of learning space Order of application

Subject Instance Co-ordinatorKok-Leong Ong

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 elementComments%ILO*
Assignment, problem identification and formulation of analytical tasks1250 equivalency task3001, 02
Assignment, data analysis and analytics2500 words equivalency task5002, 03, 04
Report and presentation, details of the analytics tasks for stakeholders1000 words equivalency task2001, 05