1. Complex Data Modeling: Power BI is capable of handling complex data models, but it can be challenging to design the data model in the most efficient way. For example, if you have a dataset with millions of rows and you need to create a report, it can be difficult to determine which tables should be related to each other and how to join the tables in order to get the most accurate results.
2. Data Refresh: Power BI can be used to refresh data from a variety of sources, but it can be difficult to ensure that the data is always up-to-date. For example, if you are using a database that is updated frequently, you need to make sure that Power BI is configured to refresh the data regularly.
3. Security: Power BI has powerful security features, but it can be difficult to configure them in a way that ensures that the data is secure. For example, if you are using row-level security, you need to make sure that the users are only able to access the data that they are authorized to view.