Data integrity vs. data quality: Is there a difference?
IBM Journey to AI blog
JULY 13, 2023
This is the practice of creating, updating and consistently enforcing the processes, rules and standards that prevent errors, data loss, data corruption, mishandling of sensitive or regulated data, and data breaches. Effective data security protocols and tools contribute to strong data integrity.
Let's personalize your content