Data cleansing is the process of altering data in a given storage resource to make sure that it is accurate and correct. There are many ways to pursue data cleansing in various software and data storage architectures; most of them centre on the careful review of data sets and the protocols associated with any particular data storage technology.
DATA CLEANING IS NECESSARY:
- Improve data quality and accuracy
- Improves operational efficiency
- Controlled costs
- Reduced risks
- Improved data security
- Ensures compliance with Data Protection Act