DATA-DRIVEN BUSINESS ANALYSIS

BUA5BAM

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 example 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 LMMBA or HZMBHA or LMMBAH or LMMBAA or LZFABA to do this subject.

Co-requisitesN/A

Incompatible subjects BUO5BAM

Equivalent subjects BUO5BAM

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:
Workshops, 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:
Workshops, seminars 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:
Workshop 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

Select to view your study options…

Start date between: and    Key dates

City Campus, 2019, Semester 2, Night

Overview

Online enrolmentYes

Maximum enrolment sizeN/A

Enrolment information

Subject Instance Co-ordinatorShalinka Jayatilleke

Class requirements

Seminar Week: 31 - 43
One 3.0 hours seminar per week on any day including weekend at night from week 31 to week 43 and delivered via face-to-face.

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 01, 02, 03, 04
Storytelling with data (2000 word equivalence)Turn data insights into visualisations for storytelling and present to stakeholders35 01, 02, 03

Melbourne, 2019, Week 20-24, Day

Overview

Online enrolmentYes

Maximum enrolment sizeN/A

Enrolment information

Subject Instance Co-ordinatorShalinka Jayatilleke

Class requirements

Seminar Week: 20 - 24
Four 8.0 hours seminar per study period on weekends during the day from week 20 to week 24 and delivered via face-to-face.

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 01, 02, 03, 04
Storytelling with data (2000 word equivalence)Turn data insights into visualisations for storytelling and present to stakeholders35 01, 02, 03