Performance optimization begins with efficient data modeling and minimizing the complexity of transformations. Companies use performance analyzers to detect bottlenecks and resolve them by reducing visual complexity, such as limiting the number of data points or visuals per page. Power BI development company avoid using calculated columns in favor of DAX measures for faster calculations. Proper indexing of source databases and optimized relationships between tables enhance query execution speed. These efforts ensure reports are not only accurate but also quick and responsive.