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Rhodochrosite | Level 12

This is little off topic. Given below is the sample product sales data. What are the different types of analysis one can perform with this data? After the analysis I want to find the inferences and create some charts (e.g. bar, pie..) Any help?


I just looking for an idea to start with. 


REST_KEY MITM_KEY Menu Item Menu Item Combo Meal Flag Reporting Day POS Consumer Price POS Total Units Sold  Promo and Regular POS Promotion Units Sold POS Units Sold POS Combo Units Sold
1364 7 00000007- FRENCH CHEESE N 27-01-2011 3.79 196 0 196 189
1364 7 00000007- FRENCH CHEESE N 28-01-2011 3.79 211 0 211 202
5357 35 00000035-HASH BROWN N 07-01-2011 1 205 0 205 161
Super User

Something along the lines of:


  • Highest product sellers
  • What sells best at what time of day/week (heatmaps)
  • If you have ID of customers, repeat sellers/favourites
  • If you have ID of sales, best sales person, most sales per person
  • Best day of the week sales, worst day of the week
  • Combos versus individual items
  • Profit analysis sliced by all the above if you have cost or can assume a percentage markup


Lapis Lazuli | Level 10

Hi David 

This case study task given by wells fargo ?

did you complete this task please post here this case study 



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