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From Spreadsheet Chaos to Automated CRM System.
Most businesses don't need more tools. They need better workflows.
Many small businesses still manage customer data manually:
❌ Leads scattered across multiple spreadsheets
❌ Follow-ups forgotten
❌ No clear sales pipeline
❌ Customer history difficult to track
This is where automation can help.
I built a lightweight CRM system using Google Workspace + Google Apps Script that helps businesses:
✅ Capture and organize leads automatically
✅ Track customer progress through sales stages
✅ Create follow-up reminders
✅ Generate reports and insights
✅ Keep everything connected inside their existing workspace
The goal is simple:
Transform repetitive manual processes into a smarter business system.
No complicated software.
No unnecessary subscriptions.
Just a workflow designed around how your business actually works.
Building practical automation systems for businesses using Google Workspace.
What process in your business takes too much manual work?
Database EngineeringDatabase DevelopmentData VisualizationGoogle App ScriptGoogle Sheetssaasdevelopment
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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Built an n8n automation that recovers missed customer calls, starts an AI conversation, checks CRM context, routes urgent requests, and tracks callback SLAs until the customer is handled.
nice that it tracks the callback until someone actually handles it. which businesses is this built for, trades or more like clinics
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...
I created a Google Sheets workflow solution to organize business data and simplify repetitive spreadsheet tasks. The solution focuses on structured data management, automated workflows, and efficient reporting to help businesses improve productivity and reduce manual effort.
