Data reveals patterns. Learn to track average QC performance by seller category and identify consistent high performers.
Unlocking Insights in Your ACBuy Spreadsheet
The ACBuy spreadsheet is a goldmine of supplier performance data. Beyond individual transactions, its real power lies in revealing long-term Quality Control (QC) trends
Step-by-Step: Analyzing Average QC Performance by Seller Category
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Standardize Your Data Structure
Ensure your spreadsheet has consistent columns:
Seller_Name,Seller_CategoryQC_ScoreOrder_Date. -
Create a Pivot Table for Categorization
Select your data range and insert a Pivot Table. Use
Seller_CategoryQC_ScoreAverage -
Visualize the Trends with Charts
Convert your Pivot Table into a bar chartline graph
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Drill Down to Identify Top Performers
Within a high-performing category, filter or create a second Pivot Table to analyze individual sellers. Look for those with above-average scoreslow score variance
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Track Performance Over Time
Add
Order_Date
Key Patterns That Reveal Consistent High Performers
- High & Stable Averages:
- Low Defect Rate:
- Positive Trend Line:
- Minimal Critical Issues:
- Low Defect Rate:
By tagging these sellers in your ACBuy spreadsheet (e.g., with a "Trusted" flag), you build a curated shortlist