Which data quality assessment technique focuses on identifying incorrect or inconsistent data values?

Data cleansing is a data quality assessment technique that focuses on identifying and correcting incorrect or inconsistent data values. It involves various processes such as parsing, standardization, and enrichment to ensure that data is accurate and reliable for analysis and decision-making. By detecting and rectifying errors, data cleansing enhances the overall quality and usability of the dataset.