In the complex world of global sourcing, data often resides in separate silos. Purchase orders, quality control (QC) reports, and payment histories tell parts of a story, but rarely the complete picture. The OrientDig Spreadsheet bridges this gap by providing a unified framework to link QC results with transaction data, empowering buyers to make truly informed decisions.
The Challenge: Disconnected Data
Traditionally, teams assess:
- Quality
- Cost
- Reliability
- Cost
Without connection, critical questions remain unanswered: Does higher price correlate with better quality? Do suppliers with perfect delivery consistently meet QC standards? The OrientDig methodology solves this.
The Solution: A Structured Integration Framework
The OrientDig Spreadsheet is a dynamic tool designed to merge these datasets. Below is a conceptual view of its core structure.
| Supplier ID | PO/Item | Unit Price (USD) | QC Rating (1-5) | Major Defects Found | On-Time Delivery | Payment Term Adherence | Composite Score |
|---|---|---|---|---|---|---|---|
| SUP-202 | #PO-8847 / Ceramic Mugs | 2.15 | 4.8 | 0 | Yes | Yes | 9.6 |
| SUP-109 | #PO-8912 / Bluetooth Speaker | 8.90 | 3.5 | 2 | No (Delayed 7d) | No (Late Payment) | 5.1 |
| SUP |