Which data should be included in your data collection file?
⚠️ To be processed by Greenly, the data provided must be in French 🇫🇷 or English 🇬🇧
You can find your module’s data collection file by clicking on the module > Tab “2. Data collection” > “Bulk import - via template”
🎯 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 your purchases → Without it, our algorithm cannot proceed to any calculations
The below list corresponds to the mandatory data:
Type of equipment
Quantity in use
Acquisition date
👉 Optional data: any additional data will increase the quality and granularity of the analysis, and provide you various areas of analysisBrand
Model
Purchase type (New, refurbished, leased)
How to upload your data to the Greenly platform?
To upload your data, click on the corresponding task on the Progress page or go to Data > Data Collection > IT inventory.
1/ You have two options to upload your data:
Manually, on the platform by clicking on "Single import"
Using the template by clicking on "Bulk import". The template is downloaded in the same language as the platform. When using it, we ask you to fill the English one with English data and the French one with French data. You can always download the other language on the READ ME page of the template.
Import your data in the section “Upload file”. You can also provide additional files to prove or support the data you’re submitting—for traceability and auditability, in the section “File Information (optional)”
2/ Once your data uploaded, review it and then complete the module.
If you do not have the necessary information to complete this module, you can click on "Skip” at the top right of the page.
Frequent errors in data format
Make sure the date format is right
Make sure to select only from the options available in the dropdown list.
Review your data and read your results
Once you have uploaded your data, you can flag the expenses related to the module to avoid double counting and access your results. To do so, please read the related article.
If you have any questions, feel free to reach out to [email protected]