Data consistency is crucial because it ensures that data remains uniform across different datasets and over time. Consistent data allows researchers to compare results accurately, identify trends, and draw reliable conclusions. Inconsistent data can lead to erroneous interpretations, affecting everything from clinical trials to public health policies.
