What are the common causes of data variation?

There are various common causes of data variation, including human error during data entry, discrepancies in measurement tools or methods, changes in software or data systems, inconsistencies in data collection procedures, and external factors such as environmental conditions or equipment malfunctions. These sources of variation can lead to inaccurate or inconsistent data, which can affect the quality and reliability of data analysis and decision-making processes. It is important for organizations to identify and address these causes of data variation to ensure the integrity and validity of their data.

This mind map was published on 29 October 2024 and has been viewed 6 times.