The Critical Role of Clean Data
Clean data refers to data free from errors, inconsistencies, and inaccuracies. This means the data has undergone processes like validation, deduplication, and correction. When integrating data from clinical and operational systems within a data lake/warehouse and incorporating AI, the importance of clean data cannot be overstated.
Here’s why: