Autodesk® Data Connector for Power BI
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説明
"Autodesk® Data Connector for Power BI" allows you to load Data Exchanges that are created and shared by other Autodesk and non-Autodesk applications, including custom enterprise applications, such as Autodesk® Revit®, Autodesk® Inventor®, Rhino, Power Automate, Grasshopper, Dynamo, Tekla, and Autodesk® Civil 3D®.
The connector seamlessly integrates with Microsoft Business Intelligence platform. It fetches data from Data Exchanges and feeds them into Microsoft Power BI to construct comprehensive reports and dashboards. This connector provides robust data visualization, analysis, and connectivity to various data sources.
This connector is currently supported only on the Windows operating system.
Here is the link to documentation
A video collection about Data Exchanges is available at our Autodesk Learning site
Authentication:
This connector uses 3-legged Authentication for accessing Autodesk Construction Cloud® Accounts and projects for loading exchanges.
Transparency Notice:
You may be sharing sensitive information, so make sure you trust the third party you are sharing it with. You can choose to revoke access at any time in your ACC Account settings. However, once you share the data, revoking access will not delete or inhibit access to data if it was earlier copied, transferred, or otherwise shared or published. If you do not want others to have any such access or any of those rights, do not use the data exchange feature.
"Autodesk Data Connector for Power BI" is subject to the Autodesk Terms of Use and Autodesk Privacy Policy.
It's a good advancement in the development of the BIM methodology.
A necessary upgrade is to have the value of the level parameter in the elements (like an instance parameter) for reading and segregating elements by lelves in the dashboard. At this moment, I haven't been able to extract the data with the level information through the connection of Power BI to ACC.
+1
I'm suffering from the same thing. I think it will be a good addition.
Great workflow for data analysis and visulization