What is a common issue when using Calculated Dimensions?

When utilizing Calculated Dimensions, a notable challenge is the potential for query performance issues. This arises because calculated dimensions often require the system to process additional computations during data retrieval. For instance, if complex calculations or aggregations are employed, the system may need to work harder to return the desired results to the user. This can lead to slower response times, especially when dealing with large volumes of data or intricate calculations.

As the calculations are performed on-the-fly, this can significantly impact the overall efficiency of queries, making it essential for users to be mindful of how they design their calculated dimensions to balance functionality with performance. Efficiently constructing and managing calculated dimensions can help mitigate some of these performance concerns, but they undoubtedly pose a common issue worth addressing in data analysis workflows.