COM736 Databases Systems and Data Analytics Assignment 2 Brief | WU

Assessment Task Details - Provide a Description of the Task 

The assignment will entail reading various academic papers, journals and books.

You will be writing reports by critically evaluating the adoption of data analytics and the issues. 

Task 1: Critically evaluate the adoption of any one modern data analysis and visualisation technology for any specific practices (e.g., Medical, Insurance, business, etc) (40%) 

"As data is being used increasingly to personalise, aggregate, and measure our everyday experiences, there is a growing need for using various models,]

Methods, tools and techniques to convert data into information and knowledge that can be understood by non-specialists to make informed decisions for governments, companies, and other organisations." 

Seeking references from appropriate scholarly/research data sources/e-library (e.g., ACM or IEEE journal articles), you need to investigate the techniques that have been used in comparison to other research, to evaluate how each of the techniques is applied in different industries (e.g., medical, business and etc). 

You are expected to critically evaluate the example applied in that research and cite it appropriately in your statement in your report. You should discuss the technical part of your data analysis (later in Task 2) in relevant to the selected technique you have discussed above. You are expected to source at least 7 -10 journal articles from the related techniques of your choice in this critical evaluation. The overall estimated number of words is between 800 - 1000 words. 

Task 2: Data Analysis & Visualisation using Oracle Analytics Cloud or another tool of your choice (60%) 

Your tasks are, 

• Data preparation and calculations: Analysts usually go through a data preparation stage in any data analysis/business analytics activity. Often, raw data is generated in formats that are not immediately amenable to visualisation or comparison. You must consider two datasets and identify how you can match the two datasets for comparative analysis. Some tasks require you to perform additional calculations/format the data differently, and build a new dataset. If that is necessary, you should do so and submit the revised data and calculations. Calculations can be done using Excel or an equivalent. The file containing your calculations must be submitted.
• Visualisation of data: Based on your scenario, provide 3 or 4 meaningful visualisations of your choice. You must give brief comments about the information conveyed by the visualisation. The visualisations must be downloaded in PDF or MS PowerPoint format from Oracle Analytics Cloud or with a clear snapshot generated/screenshot from your tools (Tableau, R or Python, etc.).
• Data Interpretation and commentary: It is not enough to create graphs and visualisations. Data interpretation and reporting are critical to decision-making. You must, therefore, separately provide brief comments about what information is conveyed by the visualisation.