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Data Is Valuable. Insights Are Even More Valuable.
Businesses generate data every single day.
Sales numbers.
Customer inquiries.
Project updates.
Invoices.
Marketing performance.
But data alone doesn't improve a business.
Insights do.
A well-designed dashboard transforms raw information into actionable decisions.
Instead of opening multiple spreadsheets, you can instantly see:
📈 Revenue trends
👥 Lead conversion rates
📊 Sales pipeline performance
✅ Project progress
⏳ Pending tasks
💰 Business KPIs
With Google Apps Script and Google Workspace, these dashboards can update automatically in real time—giving business owners a clear view of what matters most.
The objective isn't to collect more data.
It's to understand your business faster and make better decisions with confidence.
When your dashboard becomes your daily workspace, every metric has a purpose and every decision is backed by data.
If you could track only one business metric every morning, what would it be?
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would actually use this lol. the customizable part is what runners care about
Project Management Dashboard UI – A powerful and intuitive interface designed to enhance team collaboration, productivity, and workflow efficiency.
the yellow date card gives the eye a clear place to start, which most dashboards skip. how does the to-do list hold up when someone has 30 tasks instead of 5?
One business problem. Three analytical routes. One data-driven story. ☕📊
I turned raw business data into actionable decisions—not just another Power BI dashboard.
For the Onyx Data October 2026 Challenge, I worked on the Sunrise Coffee Chain analytics project, analyzing store performance, profitability, customer loyalty, revenue mix, and trading patterns across 60 UK stores (2023–2024).
🔹 My Analytical Approach
1️⃣ Python — Data Preparation
Cleaned and prepared the source datasets to establish a reliable foundation for analysis.
2️⃣ SQL — Business Analysis
Investigated store-level profitability, cost pressure, customer loyalty, revenue contribution, and trading patterns.
3️⃣ Power BI — Interactive Dashboards
Built a 3-page interactive report featuring advanced DAX measures, KPI cards, YoY comparisons, profitability analysis, and business-focused visualizations.
📊 Key Findings
• £89.7M Revenue | £16.9M Net Profit
The business recorded an aggregate net profit margin of 18.8% across the analysis period.
• Store Location Matters
Transport-Hub stores achieved a 25.1% aggregate net profit margin, compared with 18.6% for High-Street stores.
• An Area Requiring Attention
South London Corner recorded a £50.5K net loss over 24 months.
• Product Revenue Contribution
Espresso contributed 45.7% of daily revenue, while food contributed 26.1%.
• Trading Patterns
Average daily revenue was approximately 24% lower on weekends and 33% lower on UK bank holidays than on regular trading days.
💡 My Biggest Takeaway
Revenue alone does not tell the whole story. Understanding profitability, cost pressure, product contribution, and trading patterns helps businesses identify where to improve performance and make better decisions.
🔗 Explore the Complete Project
GitHub: https://github.com/SajeebTheAnalyst/sunrise-coffee-chain-analytics
If you were advising the management team, which finding would you investigate first—and why?
#DataAnalytics #SQL #PowerBI #Python #DAX #BusinessIntelligence #DataVisualization #OnyxData
I would investigate South London Corner first. Break the 24-month loss into store-month revenue, direct costs and allocated costs, then compare it with similar stores over matched trading periods. Reconcile at store-month grain before joining product or loyalty tables so a...
