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Thank you for the additional details. I will move this to a future consideration to indicate that we will monitor developments to see what the final guidance will be, coming out of the GHG protocol, ESRS and CSRD, and to see if any of the main factor providers make changes to the way they supply emissions factors.
However, our view is that we have a working model for tracking and reporting on FLAG emissions that is already being used by some very large clients with significant exposure to FLAG emissions. Separate FLAG data types represent the simplest way to leverage the functionality that already exists in Envizi (targets, virtual accounts, custom factor management, powerReports, etc.). The potential increase in the number of accounts a client may need in order to track FLAG emissions separately is proportionate to the additional value derived from the Envizi solution.
Hi IBM!
We have provided more information about this idea and why it is a needed development in Envizi. There is also a use case as an example. We would appreciate if you took this idea for further consideration. The additional information can be found in the attachment.
Sincerely, Henna
Hi,
Do we have any updates on it?
Hi,
The problem with this approach is that having more data types equals a bigger amount of accounts for the clients which can make higher the price of using Envizi, therefore we think that the submitted idea will be the best solution.
I spoke with the client and they can involve their experts to provide further clarifications.
Kind regards,
Arturo Leon
Hi @Guest - we have several clients who track FLAG emissions in our platform already. They do so using data types specific to FLAG activities (enteric fermentation, manure management, deforestation, land conversion, etc). While Envizi does not currently have a library of managed factors relevant to these areas, clients are able to use custom factors where these are required.
Since these activities are tracked in separate data types and data type categories, this data can easily be separated for reporting.
Adding additional fields to our factors and modifying the downstream calculations and reporting is a major undertaking. We do not see the need given that this data can be derived and reported on using the existing functionality.
Can you clarify if/why you feel that the existing approach with FLAG data types and custom factors is not sufficient for your reporting needs?