Hi everyone,
At Cubewise, we recently launched a pre-built Microsoft Dynamics 365 connector on our Atmosphere Integration Platform.
Atmosphere is a SaaS integration platform that can be called and parameterized directly from TM1 Turbo Integrator processes. It loads data end-to-end directly from the D365 API into TM1 cubes, without requiring a separate staging or replication layer.
Compared to a BYOD approach, the advantage is near real-time refresh. Loads are typically completed within minutes and triggered directly from TM1, so you are not dependent on external replication schedules or intermediate databases.
A DIY solution with Python and TM1py is absolutely feasible and very flexible. However, D365 has a large and complex API surface, so building and maintaining a robust integration requires knowledge of the object model, authentication, paging, and metadata handling.
The goal of the Atmosphere connector to reduce complexity while keeping full control in Planning Analytics.
Happy to share more details if you're interested!
Marius
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Marius Wirtz
Product Manager TM1py
Cubewise
Zurich
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Original Message:
Sent: Fri February 06, 2026 06:55 AM
From: Mahmut Yuksel
Subject: Dynamics 365 as Data Source
Hi @Paul Wheeler, @Ryan Clapp,
As for now, a customer is asking this requirement to us. Can you find a way to make this integration happen?
Regards,
Mahmut
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Mahmut Yuksel
Original Message:
Sent: Wed April 24, 2019 01:25 PM
From: Paul Wheeler
Subject: Dynamics 365 as Data Source
Hi all,
My client is moving to Dynamics 365 in the cloud as their ERP and we are exploring different ways for TM1 to connect to pull in data. We want to find the best solution in terms of requiring the least amount of setup / maintenance time and have the data as instant as possible.
We are currently running Planning Analytics 2.0.6 LOCAL on Windows Server 2012/2016; however, we are also looking to moving to the cloud.
Does anyone know if there is an API or tool available to make this work? Or has anyone come across this and have any recommendations?
Thanks,
Paul
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Paul Wheeler
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#PlanningAnalyticswithWatson