In the complex landscape of sourcing, supplier reliability is paramount. Spreadsheet visualization transforms raw vendor data into clear, actionable insights. This guide demonstrates how to create dynamic charts for comparing Quality Control (QC) pass rates, refund frequencies, and customer feedback ratings across your seller base.
1. Structuring Your Core Data
Begin by compiling a clean dataset in your spreadsheet (e.g., Google Sheets, Excel). Each row should represent a unique vendor, with the following columns as a minimum:
| Vendor ID | Vendor Name | QC Pass Rate (%) | Avg. Refund Frequency (per 100 orders) | Avg. Feedback Rating (1-5) | Total Orders |
|---|---|---|---|---|---|
| VEN-001 | Supplier Alpha | 98.5 | 2.1 | 4.7 | 1200 |
2. Creating Dynamic Comparative Charts
Combo Chart: The Multi-Metric Dashboard
Use a combo chart (Column + Line)
Dynamic Tip:
Scatter Plot: The Correlation Matrix
Create a scatter plot
Vendors in the top-left quadrant (high QC, low refunds)
Gauges & KPI Scorecards
For a quick executive summary, create a separate dashboard with gauge chartsKPI cards
3. Interpreting the Visualizations for Decision-Making
Spotting the All-Rounder
A vendor with consistently high bars (QC), a low line (Refunds), and high markers (Feedback)
Identifying Hidden Risk
A high QC rate coupled with a disproportionately high refund frequency
Finding the "Growth" Vendor
A vendor with medium scores but a perfect feedback rating