Data Quality

Cleansing is the process of identifying and correcting or removing errors, inconsistencies, and inaccuracies in data to ensure its accuracy and reliability for data processing and analytics.

Quality Assessment is the process of evaluating the accuracy, completeness, reliability, and consistency of data, ensuring its fitness for specific purposes.

Data cleansing is the process of detecting and correcting or removing inaccurate, incomplete, or irrelevant data.

Data quality refers to the overall fitness and usefulness of data for a specific purpose or application.