Data Analysis Report for Fond Rouge
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[ PRAMISH M ], SAP JUNE 15 , 202 2. Data Analysis Report for Fond Rouge.
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‹#›. Global picture Which locations are the biggest Revenue contributors? Where do we see the highest number of order returns? Where the Refunds:Revenue ratio is at the highest (worst)? What are the locations with the worst Sentiment score? US Problems Using Sentiment + Refund:Revenue ratio to spot the problems Potential Quality Issue In San Diego, CA Possible counterfeit issues in Los Angeles & Las Vegas Conclusion Suggested Next Steps Contacts.
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Global Picture.
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‹#›. Which locations are the biggest Revenue contributors?.
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‹#›. Where do we see the highest number of order returns?.
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‹#›. Where the Refunds:Revenue ratio is at the highest (worst)?.
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‹#›. Where the Refunds:Revenue ratio is at the highest (worst)?.
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‹#›. What are the locations with the worst Sentiment score?.
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US Problems.
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‹#›. Using Avg Sentiment + Refund:Revenue ratio to spot the problems.
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‹#›. Potential Quality Issue In San Diego, CA.
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‹#›. Possible counterfeit issues in Los Angeles & Las Vegas.
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Conclusion. Illustration for divider pageIllustration.