Arranging data within a pivot table according to numerical significance allows for efficient analysis and identification of key trends. For example, if examining sales performance across different regions, ordering the table by revenue generated highlights top-performing areas immediately, facilitating targeted strategic decisions.
This capability significantly improves data interpretation speed and accuracy. Prioritizing information based on its magnitude enables the rapid identification of critical insights, leading to more effective resource allocation and problem-solving. Historically, data was often examined manually, a tedious and error-prone process that this function streamlines considerably.