Data Cleaning in HR [5 Steps]

AIHR Learning Bite: Data Cleaning in HR [5 Steps]

In this Bite we explore the relevance of data cleaning and provide 5 guiding steps as well as caveats that’ll help you dive into the process right away:

1. Check if the data are up-to-date.
2. Check for recurring unique identifiers. 
3. Count missing values. 
4. Check for numerical outliers.
5. Define valid data output and remove all invalid data values.

Find out more in our in-depth article on data cleaning in HR and access our infographic to learn how to calculate the interquartile range, and our Global Data Integrity course.