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A pattern I keep seeing across analytics, dashboards, and business reporting:
Teams don’t struggle because they lack data.
They struggle because too much data exists without clear ownership or purpose.
When metrics are aligned to decisions, even simple Excel models outperform complex BI stacks.
When ownership is unclear, no amount of dashboards can fix confusion.
In your experience, what actually changed outcomes in real projects —
better tools, or better clarity around metrics and responsibility?
The network for creativity
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Connect with clients, get discovered, and run your business 100% commission-free
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The Sales Segment Performance Dashboard provides a comprehensive view of sales distribution, operating costs, and customer segment performance across different regions. Designed using Power BI, this dashboard helps organizations analyze sales trends, identify high-performing markets, and monitor operational costs for better strategic planning.
Key KPIs Tracked
✔ Consumer Sales – Total revenue generated from individual customers
✔ Corporate Sales – Sales performance from corporate clients
✔ Home Office Sales – Revenue generated from home office segment
✔ Small Business Sales – Sales contribution from small businesses
Data AnalysisData VisualizationdashboardpowerbidashboarduiMicrosoft Power BIUI DesignFigmaMicrosoft Excel
Breaking down performance by consumer, corporate, home office and small business segments in one view gives leadership exactly the clarity they need for strategic planning. Clean layout!
I had fun designing my first dashboard. It will be used for case study I am making.
this is amazing work , well details
I’m currently on a retainer with a Framer ENT client, and last week we investigated why part of their site was struggling with Core Web Vitals - specifically INP.
Using dev tools and some throttling, I recorded a performance trace and was able to repro the issue with an average recorded INP of over 300ms.
The pages were built by me and fairly simple, so I knew there wasn’t any heavy logic running in the background. So my main suspect was the usual: tracking scripts.
So I duplicated the project, paused the scripts, and ran the exact same test under the same conditions. This change alone made the avg INP drop below 50ms.
The team is now discussing which tools are actually necessary and which ones aren’t, but the bottom line is the same.
(ran out of space)👇🏻
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