Hobart
It is strongly recommended that you complete BMA506 Foundations of Marketing and BMA604 Consumer Decision Making before undertaking this unit to ensure you have the necessary level of knowledge to successfully complete assessments.
Introduction
The advent of big data accelerated by the internet, ecommerce and social media provides opportunities for better business/organisational management and a better society through evidence-based decision-making and the provision of new services and products. This subject introduces the conceptual and practical issues in developing models to aid in decision making in marketing. Students will be introduced to the discovery and analysis of social networks, social trends, and relationships amongst industry factors using spreadsheets and data visualisation software. Students will also translate these analytic models into competitive strategy models by making policy for strategic and other decision recommendations.
Summary 2020
| Unit name | Marketing Insights into Big Data |
|---|---|
| Unit code | BMA708 |
| Credit points | 12.5 |
| Faculty/School | College of Business & Economics Tasmanian School of Business and Economics |
| Discipline | Marketing |
| Coordinator | |
| Available as student elective? | Yes |
| Breadth Unit? | No |
Availability
Note
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Units are offered in attending mode unless otherwise indicated (that is attendance is required at the campus identified). A unit identified as offered by distance, that is there is no requirement for attendance, is identified with a nominal enrolment campus. A unit offered to both attending students and by distance from the same campus is identified as having both modes of study.
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TNE Program units special approval requirements.
* The Final WW Date is the final date from which you can withdraw from the unit without academic penalty, however you will still incur a financial liability (see withdrawal dates explained for more information).
Learning Outcomes
| LO1 | Critically examine different methods of data analysis and presentation for social networks, complex systems and relational links. |
| LO2 | Apply intermediate skills in spreadsheets and data visualisation software to identify trends and relationships among factors inindustry and society. |
| LO3 | Analyse government, industry and social media data to identify relationships and trends. |
| LO4 | Critically evaluate conclusions drawn from different data and analytic tools. |
| LO5 | Create interactive models using appropriate software and effectively communicate results and findings to aid decision-makers in understanding interrelationships and trends. |
Fees
Requisites
Prerequisites
N/A
Co-requisites
N/A
Mutual Exclusions
You cannot enrol in this unit as well as the following:
N/A
Teaching
| Teaching Pattern | Please see the unit outline for details. |
|---|---|
| Assessment | Spreadsheet Analysis (35%), Data Visualisation (35%), Complex Systems (30%). |
| Timetable | View the lecture timetable | View the full unit timetable |
Textbooks
| Required | Please see the unit outline for details. |
|---|
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