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 database 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
By leveraging the advanced functionalities of Azure ML, organizations and end-users can seamlessly merge the model-building experience with other Microsoft-supported platforms like Power BI and R. By delving deeper into Azure ML’s capabilities, users can transcend the constraints of traditional analytical reporting, unlocking new insights and opportunities.