KPMG\ (1) Task One\ (3)

30-60mins

\ (2) Task Two\ Helping companies understand their data\ (1-2hours\ (3) Task Three\

30-60

mins\ (4)\ Task Four\ (1)

30-60mins

\ (5)\ Task Five\ 1-2hours\ Finish Line\ Achievements\ Why this is important (1)\ Task 2: Data Analytics\ Here is your task\ Business understanding\ First, you should read through the company background document to gain an understanding of the client, Wondermarket, their business challenges and their business processes. This should take 5-10 minutes.\ Exploratory data analysis\ After this, you should start exploring the dataset provided. This exercise is for you to gain an understanding of their data, how it relates to their business, the statistical properties of the dataset and for you to start formulating how you can use the dataset to address the clients expectations. You can use any tool that you prefer for this, including Excel, Python and R. Make use of visualisations and charts to support your understanding at this stage! This should take 1520 minutes.\ Problem solving\ Now you have a full understanding of the business and its data, it is now your job to extract insights from the data in order to address each of the 3 expectations from the client. In order to properly address each expectation, you may be required to aggregate or make calculations on the original datasets. To provide evidence of your insights, please make use of visualisations, calculations and metrics that you feel are appropriate. You can use any tool that you prefer for this, including Excel, Python and R. This should take 20-30 minutes.\ Presentation of results\ Finally, we need to present the insights back to the client in a clear, concise and relatable format. We would like vou to present vour insights in the form of an executive summarv slide. Use the\ (?)

2. Exploratory data analysis After this, you should start exploring the dataset provided. This exercise is for you to gain an understanding of their data, how it relates to their business, the statistical properties of the dataset and for you to start formulating how you can use the dataset to address the clients expectations. You can use any tool that you prefer for this, including Excel, Python and R. Make use of visualisations and charts to support your understanding at this stage! This should take 1520 minutes. 3. Problem solving Now you have a full understanding of the business and its data, it is now your job to extract insights from the data in order to address each of the 3 expectations from the client. In order to properly address each expectation, you may be required to aggregate or make calculations on the original datasets. To provide evidence of your insights, please make use of visualisations, calculations and metrics that you feel are appropriate. You can use any tool that you prefer for this, including Excel, Python and R. This should take 20-30 minutes. 4. Presentation of results Finally, we need to present the insights back to the client in a clear, concise and relatable format. We would like vou to present your insights in the form of an executive summarv slide. Use the 2. Exploratory data analysis After this, you should start exploring the dataset provided. This exercise is for you to gain an understanding of their data, how it relates to their business, the statistical properties of the dataset and for you to start formulating how you can use the dataset to address the clients expectations. You can use any tool that you prefer for this, including Excel, Python and R. Make use of visualisations and charts to support your understanding at this stage! This should take 1520 minutes. 3. Problem solving Now you have a full understanding of the business and its data, it is now your job to extract insights from the data in order to address each of the 3 expectations from the client. In order to properly address each expectation, you may be required to aggregate or make calculations on the original datasets. To provide evidence of your insights, please make use of visualisations, calculations and metrics that you feel are appropriate. You can use any tool that you prefer for this, including Excel, Python and R. This should take 20-30 minutes. 4. Presentation of results Finally, we need to present the insights back to the client in a clear, concise and relatable format. We would like vou to present your insights in the form of an executive summarv slide. Use the