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2.1 Analyse performance data from all areas of the business
In this task, you will use the ‘PoS Data from Stores’ time series data.
R 1. calculate the performance of all stores in terms of total revenue
R 2. prepare a table that summarises the performance of each store by year [2010-2015] inclusive:
· must be in a cross-tabular format
· consolidate the quarterly figures by year
· show the grand totals of each store by year ([2010-2015] inclusive)
· show the grand totals of all stores by year ([2010-2015] inclusive)
· list the stores from the highest performing to the lowest
R 3. plot the performance trends:
· chart ‘Top 11 – highest revenue generating’ stores by year
· chart ‘Bottom 11 – lowest revenue generating’ stores by year
· your visualisations must conform to the Reporting Standards
R 4. analyse these performance trends:
· identify the three stores that generate the highest revenue
· identify the three stores that generate the lowest revenue
· identify the three stores with the highest overall jump
· identify the three stores with the highest overall slump
· compare the performance of the best and worst performing stores
R 5. write a summary based on your analyses:
· draw insight on the success of marketing activities
· suggest three strategies that A & A Coffee should consider to improve overall performance
· explain how each activity would be helpful to generate more leads
R 6. word count is approximately 400 words in total.
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