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📊 Built a Coffee Sales Dashboard in Excel
I recently worked on cleaning and transforming raw sales data into an interactive dashboard.
✔ Cleaned and structured messy data
✔ Created charts to track sales trends
✔ Identified top customers and products
This project shows how clean data can lead to better business insights.
Always remember:
👉 Good analysis starts with clean data.
Feel free to check my work/service here:
👉 https://contra.com/prem_sharma_yfgexzu6/work?r=prem_sharma_yfgexzu6
The network for creativity
Join 1.25M professional creatives like you
Connect with clients, get discovered, and run your business 100% commission-free
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3 signs your business data is costing you money 📊
You can't answer basic questions instantly "What was last month's revenue?" — if finding the answer takes more than 2 minutes, your data is not structured properly.
You have data but no clarity Spreadsheets full of numbers but no clear view of what is growing, what is declining or what needs attention. Data without structure is just noise.
Every report feels like starting from scratch If preparing a weekly or monthly report takes hours instead of minutes — the system is broken, not the person doing it.
The fix is not expensive software.
A clean Excel dashboard built around your specific business takes 1 to 2 days to set up and saves hours every single week after that.
If any of these sound familiar — message me. Happy to share a sample.
#ExcelDashboard #DataCleaning #SmallBusiness #BusinessData #FreelanceIndia #D2C #FounderLife #Excel #DataAnalysis #KPIDashboard #MISReport #BusinessGrowth #StartupIndia
This is the right diagnosis. To add a 4th sign you know something is wrong with revenue but can't point to exactly where or how much. That gap between "sales feel off" and "here's the dollar figure on each leak" is usually a structural data problem before it's anything else. The...
A little throwback to some Dashboard/Data work I was doing for Myota a while back! Still love the side nav
Good work
Built a clean, interactive stock status dashboard designed to help users monitor inventory trends, compare city-level performance, and understand overall stock movement over time. The dashboard presents key metrics such as current stock status, average stock status, selected-city totals, and overall stock volume in a simple executive summary layout.
The dashboard includes city and date filters, allowing users to narrow the analysis by location and time period. It also features city-wise trend lines, bar chart comparisons, year-over-year stock changes, and a five-year forecast to support planning and decision-making.
KEY FEATURES
KPI cards for quick stock status overview
City and date-based filtering
City-wise trend analysis over multiple years
Comparison of average stock values across selected cities
Yearly stock performance breakdown
Five-year forecast with projected stock movement
Clean Power BI-style layout for easy business reporting
TOOLS USED
Power BI, data visualization, dashboard design, trend analysis, forecasting, KPI reporting
IMPACT
This dashboard turns raw stock data into a clear visual report that makes it easier to identify high-performing regions, track stock growth, compare selected cities, and support inventory planning with forecasted trends.
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