“It Worked in Power BI Desktop...” — The 5 Words That Haunt Every BI Team

Read time: 2.5 minutes

5 Hard Facts Regarding Power BI Desktop Compared to Service

1️⃣ Desktop is a Test Environment. Service is Real Life.
When you refresh your data locally, you are not accounting for issues with your gateway, permissions, or capacity.
Solution: Test your refresh using Service pipelines and gateways early.

2️⃣ Data Refresh Breaks What Desktop is Hiding.
When you refresh your data locally in Desktop, you do not need to account for issues with connections, Service credentials, or gateways.
Solution: Ensure you have validated the scheduled refresh and gateway connections before publishing your report.

3️⃣ Model Size Will Determine How the Model Will Behave in the Service.
Once a data model is operational, large datasets will no longer function the same way.
Solution: Implement incremental refresh, aggregations, and optimized star schema models.

4️⃣ Security Will Behave Differently in the Cloud.
When row-level security is applied to models, each user will experience the data differently.
Solution: Test the row-level security roles directly in the Service environment.

5️⃣ Performance of a Model in Desktop Does Not Translate to Performance in the Service.
Otherwise, fast reports when working on your local machine may work more slowly when accessed through the Internet.
Solution: After a report has been published, run the Performance Analyzer and optimize your DAX calculations.

💡Key Takeaway: 

Power BI Desktop can provide insight into what will likely succeed as a report, while the Power BI Service shows you what has been successfully implemented.

The true success of a report is in its implementation, not just its design or build.