Data transformation is the process of converting data from one format or structure into another. This is often necessary to prepare data for analysis, ensuring it is in a suitable format for data analysis tools or machine learning algorithms. The transformation can involve various operations, such as cleaning, aggregating, or normalizing data. By transforming data, organizations can improve its quality and usability, leading to more accurate insights and better decision-making. This process is a crucial step in the broader field of data processing.