Data Cleansing
Data Cleansing is the process of fixing, standardizing, or removing poor-quality data.
What it’s for
It helps improve trust and usability before data is migrated or used.
Good to know
Cleansing decisions often reveal process problems upstream, because bad data usually comes from how the organization works as much as from the system itself.