The assignment will be made up of analysis of data (1000 words) and a case study report (1500 words) ...

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The assignment will be made up of analysis of data (1000 words) and a case study report (1500 words) The aim of this assignment is to demonstrate knowledge and understanding of contemporary research and applied developments in the rise of the data economy, and the ability to apply basic analytics techniques to particular cases. In this regard write a report to: Section 1: In a specific industry of your choice (e.g. Manufacturing, Healthcare, Retail, Telecommunication, Transport, Finance, etc), explain interesting examples of descriptive, predictive, and prescriptive analytics applications with structured and unstructured data. Present new applications instead of applications widely covered as a part of the module. Provide some suitable evidence as appropriate to support your discussion. Academic references are required to support your discussion. (The word limit for Section 1 is 1500 words) Section 2: You are required to conduct a decision tree analysis for individual tax fraud detection. Use the following dataset for classification from the past data. The output (tax cheat) is either Yes or No. All variables are categorical. (2a) Write three rules using a decision tree by assuming that “Marital Status” is the root node. The rules should be written in the formats suggested in this module's lecture and seminar notes. (2b) A married individual who is unemployed has arrived, will the individual cheat on tax or is it unknown? (2c) Does this fraud detection system use supervised learning or unsupervised learning? Discuss the differences between supervised learning and unsupervised learning applications for business analytics in a specific industry of your choice (e.g. Manufacturing, Healthcare, Retail, Telecommunication, Transport, Finance, etc.). The industry you select in Section 2 can be either the same as or different from the one in Section 1. Academic references are required to support your discussion for (2c). The word limit for Section 2 is 700 words. Section 3: You are required to conduct data visualisation and analysis via Qlik. First, please use the last digit of your student ID to determine the country for which you will investigate by checking the following table. For example, if the last digit of your student ID is 0, you should investigate the country Austria. Number 0 1 2 3 4 5 6 7 8 9 Country Austria Brazil Denmark France Germany Ireland Mexico Sweden USA Venezuela Then, upload the “Qlik Sense Workshop App” to Qlik and answer the following two questions for the country you should investigate: (3a) Write down the country that you will investigate. In that country, which category of products has the highest revenue? (3b) Discuss the Men’s footwear product market in that country using data. The word limit for Section 3 is 300 words.