Data integrity is a key factor of the Six Sigma methodology, which aims to achieve near-perfect perfection by reducing defects and systemic errors in business processes. The importance of data integrity in Six Sigma cannot be emphasized, as it is the foundation upon which all actions and progress are based. In this article, we will explore the significance of data integrity in the context of Six Sigma and the results of failing to address it.
Data integrity refers to the reliability of data, as well as its comprehensive nature, uniformity, validity, and dependability. In a Six Sigma context, data integrity is vital because it ensures that the data collected and analyzed is credible, process optimization an waste reduction allowing organizations to make objective actions based on data rather than guesses.
