DATA-DRIVEN BUSINESS ANALYSIS

BUO5BAM

2019

Credit points: 15

Subject outline

The modern approach to organisational decision-making is increasingly data driven.  You will learn the role of data as the means to developing strategies within organisations as one of the ways to drive innovation and decision-making.  You will become familiar with the different types of data that can be analysed to influence managerial decision-making across a range of business problems.  Various recent application examples of using data to drive business initiatives, such as change, customer engagement and marketing will also be introduced.  You will undertake hands-on data analysis using familiar tools like Excel, and learn first-hand the techniques of data storytelling and visualisation to achieve business outcomes.  Finally, other important considerations, such as governance and ethics around data and its use in business, will also be covered in this subject.

SchoolLa Trobe Business School

Credit points15

Subject Co-ordinatorShalinka Jayatilleke

Available to Study Abroad StudentsYes

Subject year levelYear Level 5 - Masters

Exchange StudentsYes

Subject particulars

Subject rules

Prerequisites Students must be enrolled in LMMBAO, LMMBA or LMMBAA to do this subject

Co-requisitesN/A

Incompatible subjects BUA5BAM

Equivalent subjects BUA5BAM

Special conditionsN/A

Readings

Resource TypeTitleResource RequirementAuthor and YearPublisher
ReadingsBig Data MBA: Driving Business Strategies with Data ScienceRecommendedBill Schmarzo1st Edition, Kindle Edition, Wiley
ReadingsStorytelling with Data: A Data Visualisation Guide for Business ProfessionalsRecommendedCole Nussbaumer KnaflicKindle Edition, Wiley
ReadingsData Analysis Using SQL and ExcelRecommendedGordon S. Linoff2nd Edition, Kindle Edition Wiley

Graduate capabilities & intended learning outcomes

01. Research and critique the role of data and its strategic value to organisations in driving innovation and data driven decisions.

Activities:
Online discussions, guest speakers and assessments
Related graduate capabilities and elements:
Literacies and Communication Skills (Writing,Speaking,Quantitative Literacy)
Inquiry and Analytical Skills (Critical Thinking,Creative Problem-solving,Inquiry/Research)
Inquiry and Analytical Skills (Critical Thinking,Creative Problem-solving,Inquiry/Research)

02. Analyse data using Microsoft Excel to deliver business insights.

Activities:
Business data set analysis scenarios and assessment
Related graduate capabilities and elements:
Literacies and Communication Skills (Writing,Speaking,Quantitative Literacy)
Inquiry and Analytical Skills (Critical Thinking,Creative Problem-solving,Inquiry/Research)

03. Apply data storytelling techniques and create a range of visualisations in Excel and infographic tools.

Activities:
Online discussions, and assessments
Related graduate capabilities and elements:
Literacies and Communication Skills (Writing,Speaking,Quantitative Literacy)
Inquiry and Analytical Skills (Critical Thinking,Creative Problem-solving,Inquiry/Research)
Inquiry and Analytical Skills (Critical Thinking,Creative Problem-solving,Inquiry/Research)

04. Integrate governance, ethics and unstructured data into business decision-making.

Activities:
Online activities and case analysis
Related graduate capabilities and elements:
Literacies and Communication Skills (Writing,Speaking,Quantitative Literacy)
Literacies and Communication Skills (Writing,Speaking,Quantitative Literacy)
Inquiry and Analytical Skills (Critical Thinking,Creative Problem-solving,Inquiry/Research)

Subject options

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Start date between: and    Key dates

Online, 2019, Online StudyPeriod 4, Online

Overview

Online enrolmentYes

Maximum enrolment sizeN/A

Enrolment information

Subject Instance Co-ordinatorShalinka Jayatilleke

Class requirements

Unscheduled Online Class Week: 28 - 34
One 3.0 hours unscheduled online class per week on any day including weekend during the day from week 28 to week 34 and delivered via online.

Assessments

Assessment elementComments% ILO*
Case study (1500 words)30 01, 04
Data analytics using Excel (2000 word equivalence)Work on a business data set to perform descriptive and diagnostic analytics35 02
Storytelling with data (2000 word equivalence)Turn data insights into visualisations for storytelling and present to stakeholders35 03

Online, 2019, Online StudyPeriod 6, Online

Overview

Online enrolmentYes

Maximum enrolment sizeN/A

Enrolment information

Subject Instance Co-ordinatorShalinka Jayatilleke

Class requirements

Unscheduled Online Class Week: 44 - 50
One 3.0 hours unscheduled online class per week on any day including weekend during the day from week 44 to week 50 and delivered via online.

Assessments

Assessment elementComments% ILO*
Case study (1500 words)30 01, 04
Data analytics using Excel (2000 word equivalence)Work on a business data set to perform descriptive and diagnostic analytics35 02
Storytelling with data (2000 word equivalence)Turn data insights into visualisations for storytelling and present to stakeholders35 03