Verified data
Verified borrower or asset emissions and entity-specific financial data.
Next actionRetain evidence and verification date
Data quality
DQS shows not only accuracy, but also the next step
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A score from 1 to 5 makes data gaps visible: from verified borrower data to sector-based estimates.
PCAF scale
Unverified data
Data disclosed by the company or asset owner without external assurance.
Next actionRequest limited or reasonable assurance
Physical activity data
Calculation based on energy use, production, floor area, mileage, or another physical activity driver.
Next actionImprove the completeness of primary activity data
Economic activity data
Estimate based on revenue, value, sector, and a relevant emissions intensity factor.
Next actionRefine the sector classification and local factor
Sector proxy
Approximate estimate based on minimal data about the financed entity or asset.
Next actionPrioritize requesting data from the client
Data quality becomes
an action plan
The platform ranks data gaps by exposure size and impact on results — so the team can address the most material positions first.
Demo data
86%portfolio calculation coverage
2.65weighted average DQS
74priority counterparties
Next step
Apply for the pilot
Build a data improvement plan
Get a data quality map by asset class, sector, and the largest portfolio exposures.