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Purpose of Data Cleaning

Data only have potential value that is realized when someone uses the data to do something useful. 

The eminent goal underlying data cleaning is to:

Assure the data are useful and functional toward the intended end 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

Next StepIdentifying Your Needs >>

 

 

rev. 29-Aug-2016

 

 

 

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