1. Refund Rate Trends Over Time
Goal:
How to Visualize:line chart. Plot weeks or months on the X-axis and the percentage (or count) of refunded orders on the Y-axis. Risk Insight:
ItaoBuy Data Guide: Visualizing Order Data for Proactive Risk Management
2026-01-12
Transform raw spreadsheet numbers into actionable insights with clear, powerful charts.
In the fast-paced world of e-commerce, risk management is key to profitability. Buried within your order spreadsheets are vital signals about your business health. ItaoBuy merchants can leverage data visualization to move from reactive firefighting to proactive strategy. By converting columns of data into intuitive charts, you can instantly spot refund trends, monitor purchase volume, and track Quality Control (QC) performance.
Key Metrics to Visualize for Risk Control
2. Purchase Volume & Order Value Distribution
Goal:
How to Visualize:bar charthistogram or scatter plot
Risk Insight:
3. QC Approval & Rejection Percentages
Goal:
How to Visualize:stacked bar chartpie chart
Risk Insight:
Turning Spreadsheet Data into Charts: A Simple Workflow
- Data Extraction:
- Data Cleaning:
- Pivot Tables:
- Chart Creation:
- Dashboard Setup:
- Data Cleaning:
Sample Dashboard Concept
ItaoBuy Risk Management Dashboard (Monthly View)
Chart A (Top Left):
Chart B (Top Right):
Chart C (Bottom):
This unified view allows a manager to see if a spike in refunds (Chart A) correlates with a high QC failure rate from "Supplier X" (Chart C).