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

COMMUNICATION - Communicating and Influencing
DISCIPLINE KNOWLEDGE AND SKILLS
INQUIRY AND ANALYSIS - Creativity and Innovation
INQUIRY AND ANALYSIS - Critical Thinking and Problem Solving
INQUIRY AND ANALYSIS - Research and Evidence-Based Inquiry

Intended Learning Outcomes

01. Research and critique the role of data and its strategic value to organisations in driving innovation and data driven decisions.
02. Analyse data using Microsoft Excel to deliver business insights.
03. Apply data storytelling techniques and create a range of visualisations in Excel and infographic tools.
04. Integrate governance, ethics and unstructured data into business decision-making.

Subject options

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Start date between: and    Key dates

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 elementCommentsCategoryContributionHurdle% ILO*
Case study (1500 words) Evaluate a case study and answer questions based on it.N/AN/AN/ANo30 SILO1, SILO4
Data analytics using Excel (2000 word equivalence) Work on a business data set to perform descriptive and diagnostic analyticsN/AN/AN/ANo35 SILO2
Storytelling with data (2000 word equivalence) Turn data insights into visualisations for storytelling.N/AN/AN/ANo35 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 elementCommentsCategoryContributionHurdle% ILO*
Case study (1500 words) Evaluate a case study and answer questions based on it.N/AN/AN/ANo30 SILO1, SILO4
Data analytics using Excel (2000 word equivalence) Work on a business data set to perform descriptive and diagnostic analyticsN/AN/AN/ANo35 SILO2
Storytelling with data (2000 word equivalence) Turn data insights into visualisations for storytelling.N/AN/AN/ANo35 SILO3