Conduct a critical review of the survey and its outcomes. Suggest improvements to the survey in terms of data coverage and data metrics.

Data Analytics

The first assignment aims to assess analytical thinking as well as technical skills in the use of self-service analytics software packages to develop an analytics solution. You are required to understand the business context, apply the analytics software packages to explore the given dataset to unveil the business insights, and make analytics recommendations. You are also tasked to develop an analytics report to convey your findings.

Task 1:

Conduct a critical review of the survey and its outcomes. Suggest improvements to the survey in terms of data coverage and data metrics. You may refer to external sources of information to justify your evaluation.

Task 2:

Develop two analytics solutions to analyse the dataset using data visualisation software packages.

You need to select either one of IBM Cognos or SAP Lumira as the first software to build the first visualization dashboard

It’s mandatory to select Power BI as the second software package to build the second visualization dashboard

It is recommended to explore insights among data to pinpoint characteristics of each segment – for example, age or gender distribution for product type.

Task 3:

Based on the insights obtained from the analytics solutions and any external sources of information, recommend effective marketing strategies  for a potential client intending to enter these new industry segments in Australia. You need to decide on the number of recommendations with a brief justification for your choice. Recommendations should refer to visualisations  from your analytics solutions and external references.

 

Conduct a critical review of the survey and its outcomes. Suggest improvements to the survey in terms of data coverage and data metrics.
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