Data Reduction is the process of minimizing the amount of data that needs to be processed or stored while retaining essential information. This technique is crucial in fields like data analysis and machine learning, where large datasets can be cumbersome and time-consuming to work with. By reducing data size, organizations can improve efficiency and speed in their operations. There are various methods for data reduction, including data compression, feature selection, and dimensionality reduction. These methods help eliminate redundant or irrelevant information, making it easier to analyze and visualize data. Ultimately, effective data reduction leads to better decision-making and resource management.