https://e343c64b.dataagentx.pages.dev/en/tags/validation/Recent content in Validation on DataAgentXHugoen-USTue, 13 Oct 2026 00:00:00 +0000https://e343c64b.dataagentx.pages.dev/en/tech/20261013-quality-and-validation/Tue, 13 Oct 2026 00:00:00 +0000https://e343c64b.dataagentx.pages.dev/en/tech/20261013-quality-and-validation/<p><a href="https://e343c64b.dataagentx.pages.dev/images/articles/quality-and-validation/core-en.svg"><img src="https://e343c64b.dataagentx.pages.dev/images/articles/quality-and-validation/core-en.svg" alt="Two Gates for Data Quality and Analytical Validation"></a></p> <p>If a table has no nulls and no duplicates, can you confidently publish the analysis?</p> <p>Not necessarily. Even if the data is entirely correct, the calculation might be wrong; even if calculated correctly, the comparison might be flawed, or correlation might be mistaken for causation. These three types of failures occur at different stages and require distinct checks to catch them.</p> <p>Data Analytics Skills divides these into two skills: <code>Analyze Data Quality</code> to check the data, and <code>Validate Data</code> to check the analysis. These two gates guard against different risks; missing either one leads to leakage.</p>