What is the purpose of data cleaning in data analysis?

There are seven key purposes data cleaning should serve in delivering useful end-user data:

1. Eliminate Errors
2. Eliminate Redundancy
3. Increase Data Reliability
4. Deliver Accuracy
5. Ensure Consistency
6. Assure Completeness
7. Provide Feedback for Improvements