Data transformation is the process of converting data from one format or structure into another. This is often necessary when integrating data from different sources, ensuring that it is compatible and usable for analysis. For example, raw data collected from surveys may need to be cleaned and organized into a structured format, like a database, to make it easier to analyze. The transformation process can involve various techniques, such as normalization, which adjusts the data to a common scale, or aggregation, which summarizes data points into a single value. By transforming data, organizations can gain valuable insights and make informed decisions based on accurate and well-structured information.