Data Analysis Report for Fond Rouge

Published on Slideshow
Static slideshow
Download PDF version
Download PDF version
Embed video
Share video
Ask about this video

Scene 1 (0s)

[ PRAMISH M ], SAP April 29, 2021. Data Analysis Report for Fond Rouge.

Scene 2 (9s)

‹#›. 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.

Scene 3 (29s)

Global Picture.

Scene 4 (35s)

‹#›. Which locations are the biggest Revenue contributors?.

Scene 5 (42s)

‹#›. Where do we see the highest number of order returns?.

Scene 6 (49s)

‹#›. Where the Refunds:Revenue ratio is at the highest (worst)?.

Scene 7 (57s)

‹#›. Where the Refunds:Revenue ratio is at the highest (worst)?.

Scene 8 (1m 2s)

‹#›. What are the locations with the worst Sentiment score?.

Scene 9 (1m 9s)

US Problems.

Scene 10 (1m 15s)

‹#›. Using Avg Sentiment + Refund:Revenue ratio to spot the problems.

Scene 11 (1m 23s)

‹#›. Potential Quality Issue In San Diego, CA.

Scene 12 (1m 30s)

‹#›. Possible counterfeit issues in Los Angeles & Las Vegas.

Scene 13 (1m 37s)

Conclusion. Illustration for divider pageIllustration.