MKT560 Big Data and Marketing analytics (8)
Abstract|
The advent of big data accelerated by the internet, e-commerce and social media provide opportunities for better 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 recommendations |
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+ Subject Availability Modes and Location
| Term 1 | | On Campus | Economic and Finance Institute |
Continuing students should consult the SAL for current offering details: MKT560
Where differences exist between the Handbook and the SAL, the SAL should be taken as containing the correct subject offering details.
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Subject information| Duration | Grading System | School: |
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| One session | HD/FL | School of Management and Marketing |
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Assumed Knowledge|
Assumed knowledge for this subject is equivalent to that covered in MKT501 or MBA503 or MKT531 or MKT571.
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Enrolment restrictions
Postgraduate students only.
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Learning OutcomesUpon successful completion of this subject, students should:
- be able to outline and critically examine different methods of data analysis and presentation for social networks, complex systems and relational links;
- be able to develop and apply intermediate skills in spreadsheets and data visualisation software to identify trends and relationships among factors in industry and society;
- be able to analyse government, industry and social media data to identify relationships and trends;
- be able to evaluate conclusions drawn from different data and analytic tools; and
- be able to create interactive models using appropriate software to aid decision-makers in understanding interrelationships and trends.
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SyllabusThe subject will cover the following topics:
- Basic Spreadsheet Functions Software demonstration & practice
- Spreadsheet functions, MS-Excel graphs
- Advanced Spreadsheet functions Pivot Tables & Pivot Charts
- Using Solver in Excel for Optimisation of marketing expenditure
- Data visualisation using Tableau®
- Data editing for visualisation, in Tableau®
- Dashboard in Tableau® Storyboards in Tableau®
- Combining data sources, Metadata in Tableau®
- Social Media and Web traffic tools Tableau®
- Forecasting in Excel and Tabelau®
- Interactive models for decision-making
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The information contained in the 2017 CSU Handbook was accurate at the date of publication: 25 August 2017. The University reserves the right to vary the information at any time without notice.
