Data transformation in data processing contexts refers to the conversion of data from one format or structure into another suitable for analysis. This can include processes like data cleaning, aggregation, and normalization to make data usable for analytical purposes. It's a critical step in data management because it ensures data integrity and quality, enabling organizations to extract meaningful insights and support informed decision-making.