Resolving the excess latency skills exhibited randomly in the Power BI Service will require one to follow a specific sequence of steps since the loading performance can be affected by several issues, such as the size of the data set, the speed of the networking, and even the arrangement of the report. Below is a structured approach that focuses on solving the stated problem:
1. Identify Dataset Size and Query Runtime
To begin with, consider the dataset incorporated in the report. Data with too many dimensions and measures or complex DAX calculations could tremendously increase load time. Then, within a Power BI Desktop Environmental, use Performance Analyzer to see which visuals or measures are the most performance-hungry. This will show how much time each of the components spends loading them and what areas should be worked on instead, for instance, improving DAX calculations or decreasing the number of visuals.
2. Examine Data Refresh Settings and Cache Related Settings
Another factor that might relate to slowness is the data refresh rates and cache in the Power BI Service. Look under the Power BI settings and observe the refresh rates and cache settings since constant refresh or cache updates tend to increase the workload on the dataset and the report. Change the update schedule to non-peak periods, and if users view the same data repeatedly, turn on query caching to enhance their report load time.
3. Evaluate Factors Related To Network and Service Load
Intermittent slowness may also be caused by service congestion during peak hours or network connectivity issues. Preferably, consider performing the report performance test on different network connections or requesting users connect using a cable and not through a wireless connection, which is known to be unreliable. In addition, check the service health page of Power BI to find out whether there are any ongoing performance problems affecting the reporting service in your region or tenant.
