Variance maximization is a statistical technique used to transform data in a way that emphasizes the most significant features or components, often employed in dimensionality reduction methods like Principal Component Analysis (PCA). By maximizing the variance, this approach ensures that the transformed data retains the most informative aspects, making it easier to identify patterns and insights.