Generate graphs to see which categories cost the most and which couriers deliver fastest
Why Visualize Your CNFANS Data?
Modern e-commerce businesses generate massive amounts of data through CNFANS spreadsheets - from product costs and advertising expenses to shipping fees and delivery times. While raw spreadsheet data provides the facts, visualization transforms these numbers into actionable insights that can drive your business decisions.
Creating Effective Data Visualizations
Step 1: Prepare Your CNFANS Spreadsheet Data
Start by ensuring your spreadsheet contains these key columns:
- Spending Data:
- Freight Data:
Pro Tip:
Step 2: Generate Spending Category Visualizations
Create these charts to analyze your spending patterns:
A. Pie Chart - Expense Distribution
The pie chart provides an immediate visual representation of where your money goes:
- Product Manufacturing Costs
- Marketing & Advertising Expenses
- Shipping & Fulfillment Costs
- Platform Fees & Commissions
- Operational Overheads
B. Bar Chart - Monthly Spending Trends
Compare spending across different months to identify seasonal patterns and cost increases:
- X-axis: Months or quarters
- Y-axis: Total spending amount
- Color-coded by expense category
Step 3: Visualize Courier Performance Data
Create these visualizations to compare shipping carriers:
A. Delivery Time Comparison Chart
Bar chart showing average delivery times for each courier:
- X-axis: Different courier services (DHL, FedEx, UPS, EMS, etc.)
- Y-axis: Average delivery time in days
- Add error bars to show delivery time consistency
B. Shipping Cost vs Delivery Time Scatter Plot
Evaluate the trade-off between cost and speed:
- X-axis: Shipping cost per package
- Y-axis: Average delivery time
- Each point represents a different courier service
- Identify the best value options (fast and affordable)
Analyzing Your Visualized Data
Identifying Cost Reduction Opportunities
When examining your spending charts, look for:
- Largest expense categories:
- Unexpected cost increases:
- Seasonal patterns:
- Unexpected cost increases:
Optimizing Courier Selection
Use your freight visualizations to:
- Identify the fastest couriers
- Find the most cost-effective options
- Detect reliability patterns
- Create courier selection rules
- Find the most cost-effective options
Tools for Creating Visualizations
You can create these visualizations using:
- Excel/Google Sheets:
- Tableau/ Power BI:
- Python with Matplotlib/Seaborn:
- Online Chart Tools:
- Tableau/ Power BI:
Turning Data into Decisions
Regular visualization of your CNFANS spreadsheet data transforms raw numbers into clear business intelligence. By consistently monitoring which categories cost the most and which couriers deliver fastest, you can make data-driven decisions that optimize your spend, improve customer satisfaction, and increase your bottom line. Start small with basic charts and gradually incorporate more sophisticated visualizations as your data analysis needs grow.