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This Project Overview Dashboard provides a comprehensive view of project performance, financial outcomes, and operational progress across the organization. Built using Power BI, this dashboard enables project managers and executives to monitor key project metrics, evaluate cost efficiency, and track overall project status in real time.
Key KPIs Tracked:
✔ Total Projects – Number of active and completed projects
✔ Project Cost – Total investment allocated across projects
✔ Project Benefit – Estimated value or return generated from projects
✔ Net Benefit – Difference between project benefit and cost
✔ Average Completion Rate – Overall project progress percentage
Tracking Net Benefit alongside Project Cost in real time is really powerful for executive decision making — gives leadership the full financial picture without digging into raw data. Well structured dashboard!
For this Fintech mobile concept, my goal was to take complex financial data and make it feel "Zero Stress." I focused on clean data visualization and a bold, trustworthy blue palette to help users manage their money with clarity and confidence.
Key Design Features:
Interactive Analytics: Clean donut charts for quick spending insights.
Financial Health Monitoring: Real-time progress tracking to encourage better saving habits.
Streamlined Transactions: A friction-less "Wallet" interface for fast transfers and payments.
I believe financial tools should be empowering, not overwhelming. What do you think about this "Glassmorphism" look for the cards? Let me know in the comments! 👇
(Available for new UI/UX & Product Design projects!)
clean design Love this approach.
Most spreadsheet problems are not Excel problems.
They’re structure problems.
I often see spreadsheets where:
• formulas reference half the sheet
• headers change across tabs
• logic is embedded inside long nested formulas
• no one knows where the numbers actually come from
The result?
Small updates quietly break the entire model.
A simple structure solves most of this:
Raw Data → Processing → Output → Documentation
Raw data stays untouched.
Processing handles the logic.
Output shows only what decision-makers need.
Documentation explains how metrics are calculated.
Clean structure reduces fragility and makes updates predictable.
Good spreadsheets aren't just about formulas.
They’re about clear data flow and transparent logic.
The goal is to get clear on the data
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