CNFANS: Visualizing Spending and Freight Data
Effectively tracking your shipping costs and performance is key to optimizing your supply chain. The CNFANS spreadsheet holds valuable data, but raw numbers can be hard to analyze. This guide shows you how to transform that data into clear, actionable charts.
Step 1: Prepare Your Data
Ensure your spreadsheet is organized with at least these columns:
- Date:
- Category/Product Type:
- Spending/Cost:
- Courier:
- Delivery Days:
- Category/Product Type:
Format your data as a clean Table
Step 2: Generate a Spending by Category Chart (Pie or Bar Chart)
Goal: See which categories cost the most.
- Create a PivotTableSpendingCategory.
- Select the PivotTable data.
- Insert a Pie ChartColumn Chart.
- Pie Chart:
- Bar/Column Chart:
- Pie Chart:
- Format: Add data labels (percentage or value), and title it "Total Spending by Category".
Example Bar Chart Output:
Step 3: Generate a Courier Speed Chart (Bar or Line Chart)
Goal: Compare which couriers deliver fastest on average.
- Create a PivotTableAverage of Delivery DaysCourier.
- Select this summary data.
- Insert a Bar ChartLine Chart
- Format: Ensure the Y-axis (Delivery Days) starts near zero for fair comparison. Title it "Average Delivery Days by Courier".
Example Horizontal Bar Chart Output:
Step 4: Advanced: Combined Cost & Speed Analysis
For deeper insight, create a scatter plot or a combined chart:
- Scatter Plot:CostDelivery DaysCourier. This reveals the cost-speed trade-off.
- Dashboard:
Conclusion
By visualizing your CNFANS freight data, you move from simply recording numbers to gaining strategic insights. You can instantly identify your highest cost drivers and objectively compare courier performance, enabling data-driven decisions to reduce expenses and improve delivery times.
Next Action: