One of the advantages of incorporating Azure ML output to Power BI is the seamless integration experience. If a model is retrained using a different dataset and republished, the new predictions will be available without any additional interaction needed.
A common limitation when integrating predictive analytics with a reporting tool is having to store predictions in a DB to be able to use them in a report. The possibility of skipping this step and connecting Azure models to Power BI directly simplifies the use of predictive analytics, and makes it more interactive.
Azure ML + Power BI = Seamless UX
Through the enhanced capabilities of Azure ML, organizations and end-users can enjoy the model-building experience with the other platforms supported by Microsoft, such as Power BI and R. By further exploring the depths of Azure’s ML features, users can break the bounds of traditional analytical reporting.