Technology and software play a significant role in enhancing data quality and accuracy. Electronic data capture systems, for example, can reduce errors associated with manual data entry. Advanced statistical software can perform complex data validation checks and handle missing data more effectively. Additionally, machine learning algorithms can identify patterns and potential errors in large datasets, further improving data quality.
