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This is one of my works for one of the international stores that went bankrupt a short period of time ago. It revealed the reason for its bankruptcy and revealed missed opportunities that will shock the beauty. 😉
💫💫😱🔥
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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
Cinematic AI fashion visual created using layered sequencing, timing precision, and high-impact styling effects.
This piece showcases how I transform single visuals into luxury-level video content.
What’s your thoughts?
See complete video: https://www.facebook.com/share/r/1cxTxTM9zN/?mibextid=wwXIfr
Available for custom video projects + brand collaborations.
Edited for My 3rd #aicapcut entire
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Title: 💋 🎥 Divine Maven TV ✍️/👗 Crystal Roby Song by China Styles Outfit inspo. From image to video. | Janielle Saddler
Title: 💋 🎥 Divine Maven TV ✍️/👗 Crystal Roby Song by China Styles Outfit inspo. From image to video.
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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