Data Scrubbing
Data scrubbing, also known as Data Cleaning, is the essential process of detecting and correcting or removing corrupt, inaccurate, or irrelevant records from a dataset. This meticulous refinement ensures data quality and consistency, laying a reliable foundation for analysis and decision-making.