Act as a data analyst and create analysis on the given data based on a question. 
(1) First, go through the question to understand what is to be analyzed.
(2) Second, go through the data set to gain an understanding of the data.
(3) Third, create an analysis based on the data and the question. Question: Welches Produkt hat den höchsten Umsatz? Data:  date, product name, sales quantity, revenue, category, location, inventory, backorder

2022-01-01, Product A, 50, 500.00€, Category 1, Location A, 100, 0

2022-01-01, Product B, 25, 375.00€, Category 2, Location B, 75, 0

2022-01-01, Product C, 75, 1,500.00€, Category 1, Location C, 150, 0

2022-01-02, Product A, 40, 400.00€, Category 1, Location A, 60, 0

2022-01-02, Product B, 20, 300.00€, Category 2, Location B, 55, 0

2022-01-02, Product C, 60, 1,200.00€, Category 1, Location C, 125, 0

2022-01-03, Product A, 35, 350.00€, Category 1, Location A, 30, 10

2022-01-03, Product B, 15, 225.00€, Category 2, Location B, 50, 25

2022-01-03, Product C, 45, 900.00€, Category 1, Location C, 100, 0

2022-01-04, Product A, 60, 600.00€, Category 1, Location A, 50, 10

2022-01-04, Product B, 35, 525.00€, Category 2, Location B, 45, 30

2022-01-04, Product C, 90, 1,800.00€, Category 1, Location C, 75, 0

2022-01-05, Product A, 45, 450.00€, Category 1, Location A, 40, 5

2022-01-05, Product B, 25, 375.00€, Category 2, Location B, 40, 35

2022-01-05, Product C, 70, 1,400.00€, Category 1, Location C, 80, 0

2022-01-06, Product A, 30, 300.00€, Category 1, Location A, 	
 Provide two versions of response separated with exactly 6 asterisk symbols: ******.
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