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.
|Unit name||Business Analytics for Strategic Decision-Making|
|College/School||College of Business & Economics
Tasmanian School of Business and Economics
|Coordinator||Doctor Glenn Finau|
|Available as an elective?||Yes|
|Delivered By||University of Tasmania|
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- Explain how data analytics can create a competitive advantage for businesses in the digital economy
- Describe strategic/managerial/organizational problems related to analytics for an organisation or industry.
- Identify and articulate solutions for generating organisational value through improved data analytic maturity.
- Apply data analytics to assist strategic-level decision-making.
- Present complex data using data visualization techniques
|Field of Education||Commencing Student Contribution 1||Grandfathered Student Contribution 1||Approved Pathway Course Student Contribution 2||Domestic Full Fee|
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2 Please refer to more information on eligibility and Approved Pathway courses.
3 Please refer to more information on eligibility for HECS-HELP.
4 Please refer to more information on eligibility for FEE-HELP.
Please note: international students should refer to What is an indicative Fee? to get an indicative course cost.
Pre-recorded Blended Lecture (online), Up to 1.5 hours (3-5 short lectures of maximum 20 minutes each), weekly.
Blended Workshop (face to face and via zoom) for 180 minutes. 4 blocks of 3 hour workshops.
|Assessment||Data analytics maturity plan (30%)|Online test (35%)|Take home exam (35%)|
|Timetable||View the lecture timetable | View the full unit timetable|
Required readings will be listed in the unit outline prior to the start of classes.
|Links||Booktopia textbook finder|
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