Data integrity is a key component of the Quality Control methodology, which aims to achieve near-perfect excellence by reducing defects and process optimization an waste reduction variations in business processes. The importance of data integrity in Six Sigma cannot be emphasized, as it is the groundwork upon which all actions and improvements are based. In this article, we will explore the significance of data integrity in the context of Six Sigma and the results of overlooking it.
Data integrity refers to the precision of data, as well as its completeness, coherence, authenticity, and reliability. In a Six Sigma context, data integrity is crucial because it ensures that the data collected and analyzed is trustworthy, allowing organizations to make objective choices based on data rather than assumptions. When data is unreliable, it can lead to flawed interpretations and invalid choices, which can have far-reaching effects.
