DATA6000 Capstone: Industry Case Studies

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Java Python Assessment 1 Information

Your Task

Generate an original business question based on an industry business problem that can be explored using available data sources and analytics methodologies mastered in the business analytics degree.

DATA6000 Capstone: Industry Case Studies

Assessment Description

•    An individual report of 1000 words.

•    Students are required to investigate the application of one analytics method to an industry and document their findings as a report.

•    Learning outcomes: LO1, LO2.

Assessment Instructions

A literature review is the first part of a good project. In 1000 words (excluding references) address the following sections that will assist you to outline a business  industry problem that can  be  addressed through data analytics.

1.   Industry Background:

Choose an Industry, e.g., healthcare, retail,  education,  finance,  recreation,  government,  etc.  and discuss three key business problems currently facing this industry.

2.   Existing Analysis and Methodologies:

Investigate and evaluate existing analysis on the three business problems you have chosen and reflect on the data and analytics methodologies employed in this analysis.

3.   Data Sources:

Evaluate the types of data sources available to analysts in this industry. Explore the available data sources you can access to address the three business problems you have identified and evaluate what type of descriptive and predictive analytics techniques could be used.

4.   Selecting Business Problem: Generate a unique business question for this industry based on one of the business problems. You will address this business problem in Assessment 3 (Project Report). For the business problem you select briefly summarise the:

1.   The data source you will use.

2.   Methodologies you will explore (brief).

3.   The originality of your contribution (i.e. Why is your analysis original given existing investigation and analysis in this space?).

Note: you need to generate at least THREE RELEVANT visualisations from YOUR DATASET to demonstrate and illustrate its value toward answering your research question. If you use an image dataset provide an example for each class of image.

5.   Provide at least ten relevant, credible references to support your ideas and explanations.

6.   Upload visualisation file (e.g         

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