Your company's sales dashboard uses a live connection to a SQL Server data warehouse. End-users report that each time they change the fiscal-quarter filter the visuals take almost two minutes to refresh, even though CPU and memory usage on the BI server stay low and the dataset is only 50 MB. Before you try to tune the data model or adjust gateway settings, which troubleshooting action will most directly reveal whether the latency is coming from the database layer or from the report's rendering layer?
Run the dashboard's underlying SQL query directly against the database and record its execution time.
Export the report data to CSV, compress it, and import the file back into a new dataset before refreshing.
Delete and recreate all visuals in the report to clear any cached metadata.
Increase the dashboard's auto-refresh interval from every 5 minutes to every 60 minutes to reduce server load.
Executing the dashboard's base SQL query outside the BI tool (for example in SQL Server Management Studio or a profiler trace) lets you measure pure query runtime without any visualization overhead. If the standalone query is also slow, the root cause is in the data source (indexes, joins, network I/O). If it returns quickly, the slowness lies in the report layer-such as inefficient DAX, heavy visuals, or client rendering. Raising the auto-refresh interval only hides the symptom, deleting visuals does not test the data source, and exporting-reimporting data adds extra work without isolating the bottleneck.
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