Single Slicer for shared dimensions across multiple Power BI datasets?

Hello!

Question: How can I achieve unified filtering with shared dimensions across multiple Power BI datasets when all business datasets consume from the same central dimensions dataset?

Issue Description:
I am building a composite Balanced Scorecard report using "DirectQuery for Power BI datasets". My report connects to multiple business datasets (e.g., Finance Dataset, Marketing Dataset).

All these source datasets are built using DirectQuery to the same shared dataset (Shared Dimensions Dataset), which contains imported tables (Date, Customer, Product, Department,...) from our Azure SQL database.

However, in my final composite report, I see duplicate instances of each shared dimension. For example, I see Customer (from Finance) and Customer_1 (from Marketing). The same happens for all other shared dimensions (Date, Product, etc.). This prevents unified filtering across business datasets.

Desired Behavior:
I want Power BI to recognize that when multiple business datasets consume the same shared dimensions from a central dataset, they should be treated as the same logical tables in my composite report. This would allow a single Customer slicer to filter all visuals from different business datasets.

Current Behavior:
My composite report connects only to the business datasets (Finance, Marketing).

Both business datasets use DirectQuery to the same Shared Dimensions Dataset.

The Model view shows duplicated dimension tables (Customer & Customer_1, Date & Date_1).

Core Problem:
Even though Finance Dataset and Marketing Dataset both consume dimensions from the exact same shared semantic model, Power BI treats them as separate entities in the composite report, making unified cross-dataset filtering impossible.

Thank you for your help!!

Mz