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Ensure that your project plan explicitly refers to a data analytics project framework and explain how the selected framework can be used/applied to address the core three business questions assigned to you.


Using data charting/ graphics, develop visual presentations of the data together with bullet-points setting out the key findings and inferences from your analysis of the charts/ plots.


Using tables, set out and explain the results of your numeric data analysis, including summary of exploratory data and supporting commentary. Explain how your results provide an understanding of Olympic Sports Ltd.’s subsidiaries performance.


Discuss first the generic issues that data analysts encounter in collecting, integrating and cleaning data. Second, discuss the specific quality issues with the project data that the Finance department has provided


Summarise what you are going to present in the report and justify your plan for delivering the research project to the Financial Director. Ensure you also make clear reference of a data analytics project framework as part of your plan.


Question 3: Did the two contracts signed in Germany to produce sport products for private brands have a positive impact on the sales performance of the subsidiary?


Question 2: Perform an analysis of the product offering to identify best performing sport products.


Question 1: Perform a sales value and volume analysis of the three countries to identify the best country to open the first branded shop.


The Finance Director, who is responsible for assessing the financial viability of the company to invest in the different growth scenarios, is interested in understanding the option of opening own branded shops


Olympic Sports Ltd. has grown successfully selling its brand across many of the high street retailers in the UK including John Lewis, H&M and M&S.


You have recently been employed by Olympic Sports Ltd. as a data analyst. Olympic Sports Ltd. is an UK-based manufacturer of sport products selling across the UK and abroad.


LO4: Critically evaluate different business analytical techniques as part of planning a data analytics initiative.


LO3: Critically appraise the presentation of data within a business environment


LO2: Explore how data analytics can be used within a business context


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