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This is one of my employees for another global store, and it's an analysis of the Apple Store. If you own an online store and find my analytics powerful, please don't hesitate to contact me and request an analysis for your store 😉💫 We will not disagree on price or work. I want to show my skills to everyone So order your analysis now and amaze everyone! 😲
😊😊😊😊I hope you will like my work.
The network for creativity
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Connect with clients, get discovered, and run your business 100% commission-free
Creatives on Contra have earned over $150M and we are just getting started
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Project Title:
Sales Performance Dashboard Using Power BI
Description Example:
Designed an interactive Power BI dashboard to track sales performance, revenue trends and monthly KPIs. Automated data transformation using Power Query and built dynamic Excel models for reporting accuracy.
Tools Used:
• Microsoft Excel
• Power Query
• Power BI
Just completed optimizing a client's Shopify store for faster checkout and higher conversion rates. Excited to see the results roll in!
Most dashboards fail before they are even built.
Not because of bad charts.
Not because of wrong formulas.
Because the data underneath is structurally broken.
Here’s what I see often in small businesses:
• Dates stored as text
• Multiple columns for the same metric
• Inconsistent naming (Revenue / Sales / Total Sales)
• Manual copy-paste every week
• No clear data flow
Then they ask:
“Why doesn’t this dashboard update properly?”
A dashboard is just a mirror.
If the data structure is messy, the reflection will be distorted.
Before I build any report, I focus on 3 things:
Standardized column logic
Single source of truth
Repeatable data flow (no manual dependency)
Clean structure → Reliable metrics → Better decisions.
If your reporting feels fragile, the issue usually isn’t Excel.
It’s the foundation.
Completely agree. Dashboards amplify whatever foundation they sit on — messy data → misleading clarity. Standardization and single source of truth are massively underrated.
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