Supplier Data Quality & Proxy Validation Review
Review supplier data reliability, proxy use, documentation strength, and quality risks affecting reporting confidence.
- One supplier dataset, up to 15 suppliers
- Completeness, internal consistency and documentation strength
- Use of proxy data, substitutions and assumptions
- Representativeness across suppliers, regions and processes
- Data quality rating with risk flags and prioritised improvements
- 48~72시간 내 제공
| 추가 옵션 | 가격 |
|---|---|
| Each additional 10 suppliers | USD 690 |
| 24시간 내 긴급 제공 | +30% |
| 결과 검토 1시간 통화 | USD 250 |
| 2건 이상 검토 동시 주문 | −10% |
Supplier data reliability and proxy assessment, produced within 48–72 hours
Many organizations depend on supplier-provided data to support Scope 3 inventories, Product Carbon Footprints, LCA studies, and EPD development, yet the underlying inputs are often incomplete, inconsistent, or unsupported by sufficient documentation.
When proxy data is used without clear validation, reporting confidence declines, comparability is weakened, and decision-making becomes exposed to technical risk. A structured review shows what can be trusted, what requires improvement, and where assumptions may undermine results.
검토 항목
- Supplier data completeness and internal consistency
- Reliability of supplier-provided inputs and documentation
- Use of proxy data, substitutions, and assumptions
- Representativeness of data across suppliers, regions, and processes
- Data quality risks affecting carbon, LCA, PCF, or EPD results
- Overall suitability of supplier data for reporting and decision-making use
제공 내용
- Clear identification of weak, incomplete, or unreliable supplier data
- Assessment of proxy use and validation risks
- Highlighted inconsistencies affecting data credibility and comparability
- Structured summary of findings and major risk areas
- Actionable recommendations to strengthen supplier data quality and next steps
적합한 대상
- Organizations relying on supplier data for Scope 3, PCF, LCA, or EPD work
- Companies facing inconsistent or incomplete supplier responses
- Procurement, sustainability, and ESG teams seeking stronger data confidence
- Businesses aiming to reduce reporting risk and improve supply chain data quality
Find out which supplier data you can actually rely on
Share your supplier dataset, the reporting use it feeds, and your timeline — DEISO will scope the review to your context.
