How is the accuracy of data primarily measured?

The accuracy of data is primarily measured by how well it has been verified. Verification refers to the process of validating the data to ensure it is correct, reliable, and reflects the true values it is meant to represent. This can involve cross-checking the data against other reliable sources, conducting assessments to confirm its authenticity, and using methods that ensure the data has not been corrupted or altered during collection or processing.

When data is verified, it builds trust in its accuracy, making it usable for decision-making, analysis, and reporting. The integrity of data is crucial because inaccurate data can lead to flawed conclusions and ineffective strategies.

While the volume of data, analysis techniques, and significance of the source can influence the overall quality and usability of data, they do not directly determine its accuracy as verification does.