Statistical sampling allows Power BI developers to analyze large datasets efficiently by selecting representative subsets of data. Power BI development use DAX or Python scripts to implement techniques like random sampling, stratified sampling, or systematic sampling. These samples are then analyzed to uncover trends, averages, or variances. Sampling helps reduce computational load and ensures timely insights, especially when processing real-time or high-volume data. By integrating sampling into dashboards, Power BI ensures that businesses receive reliable insights without overwhelming system resources, facilitating faster and informed decision-making.