Unit Outline
BEA318
Business Analytics for Strategic Decision-Making
Semester 2, 2026
Ayobolawole Ogundipe
Tasmanian School of Business & Economics (TSBE)
Tasmanian School of Business and Economics
CRICOS Provider Code: 00586B
Unit Coordinator
Ayobolawole Ogundipe
Email: ayobolawole.ogundipe@utas.edu.au
What is the Unit About?
Unit Description
 
The role of business analytics in assisting decision-making has now become essential for all organisations in today’s data-driven world where data and the insights that it can inspire are a source of competitive advantage. While business analytics is now being used at various levels within the organisation, this unit focuses on business analytics relevant for strategic-level decision-making. Strategic-level decisions are conducted at the top of the organizational hierarchy and are significant in terms of the monetary value associated with these decisions and long-term impact to the organization. This unit develops students’ understanding of the potential and the challenges of applying business analytics for strategic-level decision-making. Students will gain hands-on experience with business analytics techniques and software tools that are relevant for strategic-level decision-making. This involves understanding the appropriate strategic questions to be posed, collecting relevant data and communicating complex data using data visualization techniques to strategic-level decision-makers.
Intended Learning Outcomes
As per the Assessment and Results Policy 1.3, your results will reflect your achievement against specified learning outcomes.
On completion of this unit, you will be able to:
1.
Explain how data analytics can create a competitive advantage for businesses in the digital economy
2.
Describe strategic/managerial/organizational problems related to analytics for an organisation or industry.
3.
Identify and articulate solutions for generating organisational value through improved data analytic maturity.
4.
Apply data analytics to assist strategic-level decision-making.
5.
Present complex data using data visualization techniques
Requisites
REQUISITE TYPE
REQUISITES
Pre-requisite
BEA212
Alterations as a result of student feedback
 
 
 
How will I be Assessed?
 
For more detailed assessment information please see MyLO.
Assessment schedule
ASSESSMENT TASK #
ASSESSMENT TASK NAME
DATE DUE
WEIGHT
LINKS TO INTENDED LEARNING OUTCOMES
Assessment Task 1:
Strategic Formulation with Business Analytics
Week 5
30 %
LO1, LO2, LO3, LO4
Assessment Task 2:
Implementing Strategy with Business Analytics
Week 9
35 %
LO1, LO2, LO4, LO5
Assessment Task 3:
Monitoring, Evaluating, and Revising Strategy with Business Analytics
Week 13
35 %
LO2, LO3, LO4, LO5
 
Assessment details
Assessment Task 1: Strategic Formulation with Business Analytics
Task Description:
Students will choose a real-world organization (or a complex hypothetical one, with approval) and create a recorded presentation that demonstrates how business analytics (and related concepts like AI/ML) can inform and enhance the formulation of its strategy.
Task Length:
8 minutes
Due Date:
Week 5
Weight:
30 %
 
CRITERION #
CRITERION
MEASURES INTENDED
LEARNING OUTCOME(S)
1
Explain how business analytics contributes to competitive advantage in the selected organisational context.
LO1
2
Analyse the strategic, managerial, or organisational analytics-related challenges relevant to the organisation or industry.
LO2
3
Justify the strength and relevance of proposed solutions for improving data analytic maturity and generating organisational value.
LO3
4
Application of analytics concepts to support strategic-level decision-making.
LO4
 
Assessment Task 2: Implementing Strategy with Business Analytics
Task Description:
Using the same organization chosen for Assessment 1, students will submit a written report detailing how business analytics would be leveraged to effectively implement the formulated strategy. This report will then be subject to a peer review process.
Task Length:
Written Report & Peer Review - approx. 2000-2500 words).
Due Date:
Week 9
Weight:
35 %
 
 
CRITERION #
CRITERION
MEASURES INTENDED
LEARNING OUTCOME(S)
1
Explain how analytics contributes to competitive advantage in the selected organisational or industry context.
LO1
2
Justify the strength and relevance of proposed solutions for improving data analytic maturity and creating organisational value.
LO2
3
Apply analytics to support strategic-level decision-making
LO4
4
Use data visualisation to communicate complex insights.
LO5
 
Assessment Task 3: Monitoring, Evaluating, and Revising Strategy with Business Analytics
Task Description:
Continuing with the same organization, students will propose a comprehensive framework for monitoring, evaluating, and revising its strategy using business analytics, focusing on the plan for a dashboard and an executive summary with a reflection on the strategy.
Task Length:
Dashboard plan - 500 to 700 words (plus visual mockups) Executive Summary - 1,500 to 2,000 words Oral Presentation – 5 to 7 mins
Due Date:
Week 13
Weight:
35 %
 
CRITERION #
CRITERION
MEASURES INTENDED
LEARNING OUTCOME(S)
1
Explain organisational analytics-related challenges relevant to the selected organisation.
LO2
2
Justify organisational data analytic maturity using relevant concepts and models.
LO3
3
Apply analytics insights to support strategic monitoring, evaluation, and revision decisions.
LO4
4
Orally communicate findings and strategic recommendations.
LO5
 
 
 
How your final result is determined
To pass this unit, you need to demonstrate your attainment of each of the Intended Learning Outcomes, achieve a final unit grade of 50% or greater, and pass any hurdle tasks.
Submission of assignments
Where practicable, assignments should be submitted to an assignment submission folder in MYLO. You must submit assignments by the due date or receive a penalty (unless an extension of time has been approved by the Unit Coordinator). Students submitting any assignment in hard copy, or because of a practicum finalisation, must attach a student cover sheet and signed declaration for the submission to be accepted for marking.
Academic integrity
Academic integrity is about acting responsibly, honestly, ethically, and collegially when using, producing, and communicating information with other students and staff members.

In written work, you must correctly reference the work of others to maintain academic integrity. To find out the referencing style for this unit, see the assessment information in the MyLO site, or contact your teaching staff. For more detail about Academic Integrity, see
Important Guidelines & Support.
Requests for extensions
If you are unable to submit an assessment task by the due date, you should apply for an extension.
 
A request for an extension should first be discussed with your Unit Coordinator or teaching support team where possible. A request for an extension must be submitted by the assessment due date, except where you can provide evidence it was not possible to do so. Typically, an application for an extension will be supported by documentary evidence: however, where it is not possible for you to provide evidence please contact your Unit Coordinator.
 
The Unit Coordinator must notify you of the outcome of an extension request within 3 working days of receiving the request.
Late penalties
Assignments submitted after the deadline will receive a late penalty of 5% of the original available mark for each calendar day (or part day) that the assignment is late. Late submissions will not be accepted more than 10 calendar days after the due date, or after assignments have been returned to other students on a scheduled date, whichever occurs first. Further information on Late Penalties can be found on the Assessments and Results Procedure.
Review of results and appeals
You are entitled to ask for a review of the marking and grading of your assessment task if there is an irregularity in the marking standards or an error in the process for determining the outcome of an assessment. Details on how to request a review of a mark for an assignment are outlined in the Review and Appeal of Academic Decisions Procedure.