bua5bam data driven business analysis
DATA-DRIVEN BUSINESS ANALYSIS
BUA5BAM
2020
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-ordinatorGeraldine Kennett
Available to Study Abroad/Exchange StudentsYes
Subject year levelYear Level 5 - Masters
Available as ElectiveNo
Learning ActivitiesN/A
Capstone subjectNo
Subject particulars
Subject rules
Prerequisites Students must be enrolled in LMMBA or HZMBHA or LMMBAH or LMMBAA or LZFABA or LMPAB or LMAFMB or LMPMB to do this subject
Co-requisitesN/A
Incompatible subjectsBUO5BAM
Equivalent subjectsBUO5BAM
Quota Management StrategyN/A
Quota-conditions or rulesN/A
Special conditionsN/A
Minimum credit point requirementN/A
Assumed knowledgeN/A
Learning resources
Storytelling with Data: A Data Visualisation Guide for Business Professionals
Resource TypeBook
Resource RequirementRecommended
AuthorCole Nussbaumer Knaflic
YearN/A
Edition/VolumeN/A
PublisherKindle Edition, Wiley
ISBNN/A
Chapter/article titleN/A
Chapter/issueN/A
URLN/A
Other descriptionN/A
Source locationN/A
Big Data MBA: Driving Business Strategies with Data Science
Resource TypeBook
Resource RequirementRecommended
AuthorBill Schmarzo
YearN/A
Edition/Volume1st Edition
PublisherKindle Edition, Wiley
ISBNN/A
Chapter/article titleN/A
Chapter/issueN/A
URLN/A
Other descriptionN/A
Source locationN/A
Data Analysis Using SQL and Excel
Resource TypeBook
Resource RequirementRecommended
AuthorGordon S. Linoff
YearN/A
Edition/Volume2nd Edition
PublisherKindle Edition, Wiley
ISBNN/A
Chapter/article titleN/A
Chapter/issueN/A
URLN/A
Other descriptionN/A
Source locationN/A
Career Ready
Career-focusedNo
Work-based learningNo
Self sourced or Uni sourcedN/A
Entire subject or partial subjectN/A
Total hours/days requiredN/A
Location of WBL activity (region)N/A
WBL addtional requirementsN/A
Graduate capabilities & intended learning outcomes
Graduate Capabilities
Intended Learning Outcomes
Subject options
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City Campus, 2020, Semester 2, Night
Overview
Online enrolmentYes
Maximum enrolment sizeN/A
Subject Instance Co-ordinatorGeraldine Kennett
Class requirements
SeminarWeek: 31 - 43
One 3.00 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 element | Category | Contribution | Hurdle | % | ILO* |
|---|---|---|---|---|---|
Case study (1500 words)Evaluate a case study and answer questions based on it. | N/A | N/A | No | 30 | SILO1, SILO4 |
Data analytics using Excel (2000 word equivalence)Work on a business data set to perform descriptive and diagnostic analytics | N/A | N/A | No | 35 | SILO2 |
Storytelling with data (2000 word equivalence)Turn data insights into visualisations for storytelling. | N/A | N/A | No | 35 | SILO3 |