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Breweries

"Profit or Perish .... There are only two ways to make money: Increase sales or decrease cost" ~ Fred deLuca

 

Understanding the strengths of the business is key to maintaining and increasing profit.  

Background:

A brewery has recorded data for a duration of three years, analysis is done to aid better decision making in order to maximize profit and reduce loss to the lowest minimum.

Business Questions to Answer

  1. Within the space of the last three years, what was the profit worth of the breweries, inclusive of the anglophone and the francophone territories? 

  2. Compare the total profit between these two territories in order for the territory manager

  3. Country that generated the highest profit in 2019 

  4. The year with the year with the highest profit. 

  5. Which month in the three years were the least profit generated? 

  6. What brand had the minimum profit in the month of December 2018? 

  7. A Comparison of the profit in percentage for each of the month in 2019 

  8. What particular brand generated the highest profit in Senegal? 

  9. Country with the highest consumption of beer. 

Using Structured Query Language (SQL) and Microsoft Excel each business questions is answered and a final analytics report is presented 

Business Case 1

SELECT 

            SUM(Profit) AS total_profit

FROM

           international_breweries

Business Case 2

SELECT

              SUM(PROFIT)

FROM 
             (SELECT

                           *,

                               CASE

                                          WHEN Countries = 'Ghana' THEN 'Anglophone' 

                                          WHEN Countries = 'Nigeria' THEN 'Anglophone' 

                                          WHEN Countries = 'Togo' THEN 'Francophone' 

                                          WHEN Countries = 'Benin' THEN 'Francophone' 

                                          WHEN Countries = 'Senegal' THEN 'Francophone' 

                                END 

                                         AS country_language 

               FROM

                           International_breweries) S

WHERE

              country_language = 'Anglophone';

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Business Case 3

SELECT

                Countries,

                SUM(Profit) AS Total_Profit

FROM

              international_breweries_main

WHERE

                 Years = 2019

GROUP BY

                       Countries

ORDER BY

                       Total_Profit

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Business Case 4

SELECT

             Years,

             SUM(Profit) AS Total_Profit 

FROM

           international_breweries_main

GROUP BY

                   Years 

ORDER BY

                  Total_Profit DESC

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Business Case 5

SELECT

                Months,

                SUM(Profit) AS Total_Profit

FROM

              international_breweries_main

GROUP BY

                       Months 

ORDER BY

                       Total_Profit DESC

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Business Case 6

SELECT

                Brands,

                SUM(Profit) AS Total_Profit 

FROM

              international_breweries_main

WHERE

                 Years  = 2018 AND Months = 'December'

GROUP BY

                  brands

Business Case 7

SELECT

              Months,

              SUM(Profit) AS total_profit,

              ((SUM(Profit)/30020250)*100) AS Percentage_Profit

FROM

            international_breweries_main

WHERE

              Years=2019

GROUP BY

               Months

Business Case 8

SELECT

                 Brands,

                 SUM(PROFIT) AS Total_Profit

 FROM

                international_breweries_main

WHERE

                 Countries = 'Senegal'

GROUP BY

                       Brands

Business Case 9

SELECT

            COUNTRIES,

            SUM(QUANTITY) as Beer_quantity

FROM

           (SELECT

                         *,

                             CASE WHEN BRANDS = 'trophy' THEN 'beer'
                                       WHEN Brands = 'budweiser' THEN 'beer'
                                       WHEN Brands = 'hero' THEN 'beer'
                                       WHEN Brands = 'castle lite' THEN 'beer'
                                       WHEN Brands = 'eagle lager' THEN 'beer'
                                       WHEN Brands = 'beta malt' THEN 'malt'
                                       WHEN Brands = 'grand malt' THEN 'malt'

                               END as category
             FROM

                    international_breweries_main) C

WHERE

            category = 'beer'

GROUP BY

                Countries

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