Which data should be included in your data collection file
?
General information
The aim of this module is to calculate the impact of your company’s freight during the studied year. The temporal scope of the study is the financial year of your GHG Report.
⚠️ To be processed by Greenly, the data provided must be in French 🇫🇷 or English 🇬🇧
🎯 The data collection file contains two type of data: mandatory and optional data
Mandatory data: It is the minimum necessary data to calculate the amount of CO2e related to this regulatory entry’s activities → Without it, no emissions can be computed.
Optional data: any additional data will increase the quality and granularity of the analysis, and provide you various areas of analysis.
Advanced module
List of mandatory data:
Shipment ID
Sequence number
Ownership
Departure country code (ISO 3166)
One among those:
Departure coordinates
Departure Code (IATA, LOCODE or ZIPCODE)
Departure address
Arrival country code (ISO 3166)
One among those:
Arrival coordinates
Arrival Code (IATA, LOCODE or ZIPCODE)
Arrival address
Distance (Put it if you have it! If not, we will calculate it)
Distance Unit
Weight
Weight Unit
Type of Freight
List of optional data:Fuel data (Fuel type, Fuel consumption, Fuel consumption unit)
Supplier emissions (will need review to be valid and auditable but can definitely be used)
Refrigerated
Client / Consignee
Shipper name
Date
Transport mode
End-to-end module
No IATA or LOCODE are supported in the E2E. You need to do an advanced module
List of mandatory data:
Date
Distance
Departure country (ISO 3166 2 letters code)
Departure address
Arrival address
Arrival country (ISO 3166 2 letters code)
Type of freight
Weight
Vehicle ownership (whether leased or owned)
Stakeholder (who pays the supplier?)
List of optional data:All the other columns and fields
Frequent errors in data forma
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General information
Advanced module
Column 1: Weight
Weight are aggregated (multiple journey merged in one line)
We need unique entries for each journey
Column 2: Distance
Distances are aggregated (multiple journey merged in one line)
We need unique entries for each journey
Column 3: Shipment ID
Are not unique
Column 4:Sequence number
Are missing
Column 5: Weight Unit
Unit are missing
Unit are imprecise: tons (short tons or metric tons?)
End-to-end module
Column 1: Weight
Weight are aggregated (multiple journey merged in one line)
We need unique entries for each journey
Column 2: Distance
Distances are aggregated (multiple journey merged in one line)
We need unique entries for each journey