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FabricLearnFabr
Regular Visitor

Usage metrics for reports across all workspaces

Hi @All


In an effort to streamline and understand the most used datasets in PowerBI service across multiple workspaces and determine if there are un-used datasets that can be archived, I need to look for options to build a straight forward centralized report for usage metrics that provides a usage count of all reports and datasets by year and month. Would be good to have this information for the previous and current years. 

 

I've tried using PreviewHub dataset from Admin Monitoring but data available there seems to be only for 1-2 Months.

 

What could be the best possible options for that?


Thanks in Advance

1 ACCEPTED SOLUTION
lbendlin
Super User
Super User

Use the tenant audit log extracts.  Run them daily and store the extracts in a safe place. Ingest them via dataflows, datasets, or put them into a lakehouse for reporting.  Your choice

 

Mandatory note:  Does not provide page level details.

View solution in original post

2 REPLIES 2
Anonymous
Not applicable

Hi @FabricLearnFabr ,

Based on the information, when select Usage metrics, Power BI generates a report with usage metrics for that content for the last 90 days.

vjiewumsft_0-1730948008031.png

Try to use Admin monitoring workspace and open report.

vjiewumsft_1-1732092906109.png

 

vjiewumsft_0-1732092791559.png

 

You can view the following documents to learn more information.

Feature usage and adoption report - Microsoft Fabric | Microsoft Learn

Monitor usage metrics in workspaces (preview) - Power BI | Microsoft Learn

Solved: PBI usage report across multiple workspaces showin... - Microsoft Fabric Community

Solved: Report Usage metrics for all reports in one report... - Microsoft Fabric Community

 

Best Regards,

Wisdom Wu

If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.

lbendlin
Super User
Super User

Use the tenant audit log extracts.  Run them daily and store the extracts in a safe place. Ingest them via dataflows, datasets, or put them into a lakehouse for reporting.  Your choice

 

Mandatory note:  Does not provide page level details.

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