When faced with performance limitations due to rich and complex visuals in Power BI, several workarounds can be effective in reducing the overload of reports while still obtaining the key elements needed in the reports:
Simplify Visuals: Try installing simpler, more traditional, and common types of charts, such as line charts and bar graphs, rather than the complex bulged or Clustered charts. Do not overdo the visual presentations by using too many data points, too many layers, or too much conditional formatting, all of which can cause slow rendering. It is better to focus on the most important metric/insight, and the other aspects can be omitted.
Optimize Data Models: Each visual should have very low data processing by each visual. Rather than detailed datasets, employ summarized tables. Where possible, design columns that are precalculated and, where necessary, calculate tables in Power Query or your source database to perform the calculations rather than depending on DAX measures only in the visuals.
Avoid Over-Cross Filtering:
- Declutter visuals by limiting the amount that participates in filtering.
- Where possible, avoid unnecessary disabling of interactions to lower computational load. Under the 'Edit Interactions' section, you can adjust how users can interact with visuals to make navigation easier for them.
- Reduce Measure Complexity: When creating visualizations, improve the use of simpler DAX measures by descending the level of complexity in formulas so that the diagrams only utilize already prepared dimensions/measures or use only a portion of a measure.
- Implement Variables (VAR) to enhance the performance of measures where calculations are necessary more than once.
Optimizing Slicers and Filters: Avoid using an excessive number of slicers and filters, particularly those working on big data sets. Fully exploit hierarchical slicers or buttons with bookmarks to reduce the number of active data filters at one time.
Implementing these strategies will enhance the speed of the reports without compromising on the ease of use and functionality of the dashboard. Given the increasing quantity of data, ongoing evaluation and performance enhancement are necessary for the reports to function effectively.
