As Power BI reports become more detailed over time, performance problems arise, and certain best practices for performance management must be adopted.
Constrain the Number of Visuals: Each visual in Power BI is rendered as a separate entity, which means that the addition of visuals increases the processing resources required, which may result in the lagging of a report. Instead of this, one visual which incorporates all the insights can be used. For instance, one can utilize a multi-row card to show different KPIs together in a smaller space, thereby minimizing the use of visuals. Another option is to employ summarized visuals such as tables and matrices with conditional formatting in order to display more information with fewer visuals.
Optimizing DAX Calculations and Query Performance: Over time, as more reports are made, complicated DAX queries can become a pain to performance. Investigate ways to improve DAX function performance by applying measures only where they are warranted and eschewing overly difficult mathematics. Furthermore, in order to spare DAX calculations for improvements in loading times, examine either fitting values on certain metrics already in Power Query or Aggregating data.
Use the Appropriate Kind of Visual: Choosing appropriate visuals affects the report's performance. Donut charts, for example, are preferred to pie charts since, when well designed, they portray size without intrusive borders, as pies often do. Scatter graphs are ideal for plotting the relationship between two variables, where multiplying data points comes into play. However, if many data points are added, scatter charts may cause performance degradation.
