Monitoring Power BI Report Usage and Performance:
Usage Metrics Report:
Employ the "Usage Metrics" report located in Power BI Service to estimate the number of report views, count of unique users, and time spent on each section of the report. Recognize the reports or pages that have yet to receive much attention in order to make deductions that will enhance their functionality.
Performance Analyzer:
Utilize the Performance Analyzer in Power BI Desktop to measure the time it takes for each visual to load and for an associated DAX query to run and analyze where the bottlenecks occur in the report's performance.
Locate performance concerns associated with a given visual for further performance tuning.
Telemetry (Azure Application Insights):
For more detailed user interaction and load times analytics, use Azure Application Insights for report usage within organizations.
These allow for providing metrics on how an application is used and what can be improved instead of just an overview of the application's usage.
Resolution of Inconsistencies in Filter Application Across Various Visuals:
Edit Interactions:
Review the interaction settings using 'Edit Interactions' to check that slicers or filters work uniformly across all visuals.
Make sure to choose 'Filter' for the interaction type instead of 'Highlight.'
Data Relationships:
Check the relationships within your model using the 'Manage Relationships' function.
Check that related relationships are, in fact, active and configured for single or both-way filtering as required.
Custom Filter Settings in DAX:
Adequately define any custom-built filters or DAX expressions that can easily negate the behavior of a slicer/filter.
Assess all measures or calculated columns not used as filters, which could result in a discrepancy.
Filter Context:
Look in the filter context and check at every visual level to find any filter that is in conflict and treat the visuals differently.
