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Service Performance & Cost Optimization Dashboard
This dashboard analyzes service performance, operational costs, and revenue trends to help businesses understand profitability and efficiency.
Key features:
• KPI overview including total cost, net loss, and work orders
• Monthly revenue and cost trend analysis
• Service efficiency and order performance metrics
• Geographic insights through a US performance map
• Technician workload and top performer tracking
Tools used:
Excel for data processing and dashboard design.
Purpose:
This dashboard helps businesses quickly identify cost drivers, performance trends, and operational inefficiencies.
Combining technician workload tracking with geographic performance mapping in one Excel dashboard is really impressive — most service businesses track these separately and miss the connection between regional demand and team capacity. The cost-intensive services breakdown at the...
manually
That's impressive — building a US performance map manually in Excel takes real skill. Most people would reach for Power BI or Tableau for that. Clean execution!
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Features:
• Monthly sales analysis
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• Top performing products
• Interactive filters
Tools used: Microsoft Power BI
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The dashboard's design is sleek yet incredibly intuitive. Whether it's tracking memberships in real-time, visualizing payment statuses, or managing detailed member profiles, every tool I needed was right at my fingertips. The 'Gestão de Sócios' feature allowed me to quickly overview and edit member details, all while tracking pending payments and outstanding dues.
Great work!!🎉
What framework did you use?
From "Data Dump" to "Decision Engine."
If the dashboard is the heartbeat, the Analytics page is the brain. For Enterprise Jezz, I didn’t want users hunting for insights—I wanted the insights to find them.
When designing for scale, "more charts" isn't the answer. Visual hierarchy is.
For this view, I prioritized:
♣︎. The 4-Pillar Pulse: High-level KPIs (Revenue, Users, Signups, Server Status) at the top for an "at-a-glance" health check.
♣︎. Dual-Axis Storytelling: Combining a high-density Revenue line graph with a Traffic Source donut to show not just what happened, but where it came from.
♣︎. Status-First Tables: Using semantic "Trending," "Stable," and "Beta" tags so product managers can spot outliers in seconds, not minutes.
99.9% Server Status is great, but 100% clarity for the user is the goal. :)
#BuildInPublic #SaaS
Clean and simple
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