DATA4000 Introduction to Business Analytics

Question:

Assessment Description

• You are to read case studies provided and answer questions in relation to the content, analytics theory and potential analytics professionals required for solving the business problems at hand.
• Learning outcomes 1 and 2 are addressed.

Instructions

Part A: Case Study Analysis 

Instructions: Read the following two case studies. For each case study, briefly describe:

a) The industry to which analytics has been applied

b) The business problem to be solved

c) The type of analytics used, and how it was used to address that business problem

d) The main challenge(s) of using this type of analytics to achieve a business objective

e) Recommendations regarding how to be assist stakeholders (designers (artists), firefighters (first responders)) to adapt to these applications

1. Big Data and Art: can machine learning technology recreate the work of Gaudi? https://www.bernardmarr.com/default.asp?contentID=715
   
   
2. Amsterdam Fire Department: the use of big data analytics in fighting fires https://www.bernardmarr.com/default.asp?contentID=1082

Part B: The Role of Analytics in Solving Business Problems

Instructions: Describe two different types of analytics (from Workshop 1) and evaluate how each could be used as part of a solution to a business problem with reference to one real-world case study. Conduct your own research and consult resources provided in the subject.

Part C: Sourcing Analytics Professionals

Instructions: consider the analytics job descriptions below and:

1. Identify which type of analytics (descriptive, predictive, prescriptive or automated) is most likely to be assigned to each role, if any.
   
   
2. Based on this analysis, recommend which of these job descriptions would be most useful to the analytics applications used in the case studies in Part A. Justify your answer.
   
   
3. Data Visualisation Analyst: https://targetjobs.co.uk/careers-advice/job-descriptions/454283-data-visualisation-analyst-job-description https://flowingdata.com/2017/03/31/visualization-as-skill-set-or-stand-alone-profession/
   
   
4. Business Analyst (Data Analyst): https://www.villanovau.com/resources/business-analysis/business-analyst-job-description/#.W2g1vvZuJjo
   
   
5. Data Scientist (Data Insights Analyst): https://datasciencedegree.wisconsin.edu/data-science/what-do-data-scientists-do/
   
   
6. Analytics Translator: https://www.mckinsey.com/business-functions/mckinsey-analytics/our-insights/analytics-translator