How can you improve performance in Power BI reports?

Improving performance in Power BI reports primarily involves optimizing data models, reducing data volume, and limiting the use of complex calculations. A well-structured data model plays a crucial role in ensuring that reports run efficiently and quickly.

When you optimize data models, you focus on minimizing the number of columns and rows that are loaded, which in turn reduces the processing time and memory usage. This makes the reports more responsive and quicker to render. Additionally, by using simpler calculations or aggregations instead of complex DAX expressions, you decrease the computational load on the report, leading to faster performance.

Reducing data volume also contributes significantly to performance enhancement. This can be achieved through techniques like data summarization, filtering out unnecessary data at the source, or using DirectQuery to retrieve only the needed data dynamically, which avoids pulling large datasets into memory.

The other options do not contribute positively to performance. Increasing data load times is counterproductive and would lead to slower reports. Using more visuals may seem intuitive, but in reality, each visual adds to the load and can slow down report rendering time. Avoiding data transformations might limit the utility and capability of the analysis, as transformations can help in shaping the data appropriately for more efficient usage.

Thus, focusing on optimization techniques