Data Standardization is the process of transforming data into a common format to ensure consistency and accuracy. This involves adjusting data values to a specific range or format, making it easier to compare and analyze. For example, dates might be standardized to a single format like YYYY-MM-DD. Standardization is crucial in fields like data analysis and machine learning, where diverse data sources can lead to confusion and errors. By applying standardization, organizations can improve data quality, enhance decision-making, and facilitate better communication across different systems and teams.