For real-time monitoring of user activity across Power BI dashboards, here are the steps:
Connect to Real-Time Data Sources: Power BI should be linked to live data sources capturing and updating user activity data, such as application logs, CRM services, or streaming sources. Use tools such as Azure Stream Analytics, Microsoft Power Automate, or APIs to push that data feed in real time into Power BI. For true real-time tracking, employ Azure Event Hub or other similar streaming-type platforms.
Set Up Push Datasets: Make streaming or push datasets available in Power BI. Such datasets are created specifically for real-time data updates. Use Power BI REST API or streaming services to push this data into the datasets. Such datasets maintain real-time visuals such as cards, gauges, or line charts to keep updating as new data flows in.
Optimal Performance in Dashboards: Live dashboards must perform optimally while updating. They must be completed on time by overly complex visuals or numerous data points. Primary metrics are necessary; thus, all that is left are real-time tiles. Therefore, the data pipeline must operate efficiently, minimizing latency by keeping transformations and calculations in the source system or intermediate levels.
Thus, the steps below will help create Power BI dashboards that will accurately track, monitor, and visualize user activity in high-performance real-time.
