After studying the HMC case, you are required to write a report containing critical analysis of the key issues, challenges, and opportunities related to the HMC endeavour to capitalise on Data Analytics. Some of the key issues and a sample structure you may want to consider in writing the report can be found in page 12 & 13 of the HMC Case.

In your analysis of the case, please make sure you incorporate some of the following key issues, challenges, and opportunities:

• The competitive landscape and the strategic positioning of HMC in the competitive landscape of its industry (appropriate to the context of the case study);
• The key challenges/barriers, opportunities and values for growth, further developments of products and services through/associated with the use of Big Data;
• The key challenges/barriers, opportunities, and further developments of strategy and management practices in the attempt to effectively capitalise on Big Data;
• Potential of strategic alliances in data acquisition, management, and use of Big Data;
• The strategic impacts on HMC’s endeavour and intent on analytics and the use of Big Data to its customers, partners, staff, business processes and/or activities, strategy, management processes/style, as well as its other constituents;
• Issues pertaining data quality, ethical issues, privacy, security, and data ownership;

Assignment Requirements

This is not about rewriting parts of the case study.

As part of a case study analysis, critical thinking, synthesis, analysis, and your professional views are critical to the task. These need to be informed and supported by the appropriate literature (i.e., in-text references).

A minimum of 8 scholarly references (i.e., journal papers, conference papers) is required. It is important that you employ only resources which are accepted as being scholarly and academically reliable (i.e., journal papers, conference papers). This does not apply either to Wikipedia or to the individual opinions expressed in some Blogs and Web articles (a blog and/or a personal website and/or a news piece are nice to read and may contain valuable information, but these are not regarded as “scholarly references”). The Swinburne University library database features many useful and high quality references. If you have difficulty in using this database you will find the library tutorials helpful

All references should be appropriately cited using the Harvard referencing style (please check: http://www.swinburne.edu.au/library/referencing/harvard-style-guide/ if you are unsure or just want to be certain)

It is expected that all work submitted would have been proof-read & edited to avoid spelling & grammar oddities/mistakes. The resulting written work needs to be presented in a professional manner and format: i.e., Pages need to be numbered, evidence of attention to layout and structure needs to be demonstrated. The written submission is to be formatted as a report, word-processed in 12 point font and 1.5 line spacing. The word count does not include the executive summary, table of contents, references and appendices.

Analysis of the data provided and its presentation would be a key element of this assignment. Some of the data analysis outputs can be presented as an appendix (but this needs to be referred to in the main body of the report)

The part I need to DO:

Proposed Approaches

This is the part where you can be creative and exercise critical thinking on what other value

can be derived from the data through analytics? Can you run a forecasting with the data

available to provide indications of what HMC need to focus on? Is there a trend that you can

detect by analysing the data and what recommendations would you make to the decision

makers? Etc. This is also the section where you can make recommendations in response to

some of the concerns raised in the previous and the current section.

This is the section where you need to focus a lot of your effort on. This is the section where

you can demonstrate your analysis, synthesis, evaluation, and critical thinking ability. I’d

estimate 60% of your time will be used in addressing this section, including reviewing and

analysing the dataset.

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