Solution:Data integrity is a concept and process that ensures the- accuracy,
- completeness,
- consistency,
- and validity
of an organization's data. By following the process, organizations not only ensure the integrity of the data but guarantee they have accurate and correct data in their database.
The importance of data integrity increases as data volumes continue to increase exponentially. Major organizations are becoming more reliant on data integration and the ability to interpret information to predict consumer behaviour, assess market activity, and mitigate potential data security risks. This is crucial to data mining, so data scientists can use the right information.