DATA-DRIVEN BUSINESS ANALYSIS
BUO5BAM
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 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/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 LMMBAO, LMMBA or LMMBAA to do this subject
Co-requisitesN/A
Incompatible subjectsBUA5BAM
Equivalent subjectsBUA5BAM
Quota Management StrategyN/A
Quota-conditions or rulesN/A
Special conditionsN/A
Minimum credit point requirementN/A
Assumed knowledgeN/A
Readings
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
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
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
Select to view your study options…
On-Line, 2020, Online study period 4, Online
Overview
Online enrolmentYes
Maximum enrolment sizeN/A
Subject Instance Co-ordinatorShalinka Jayatilleke
Class requirements
Unscheduled Online Class
Week:
28
-
34
One 3.00 h 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 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 |
On-Line, 2020, Online study period 6, Online
Overview
Online enrolmentYes
Maximum enrolment sizeN/A
Subject Instance Co-ordinatorShalinka Jayatilleke
Class requirements
Unscheduled Online Class
Week:
44
-
50
One 3.00 h 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 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 |