Validate Data

QA analysis before sharing: methodology checks, accuracy, aggregation logic, bias review.

data-quality qa validation accuracy

When to use

Use when reviewing an analysis before a stakeholder presentation, spot-checking calculations and aggregation logic, verifying a SQL query's results look right, or assessing whether conclusions are actually supported by the data.

Examples

Validate analysis before sharing

QA a report before presenting to stakeholders

Validate this analysis before I share it with the board. Check the methodology, sanity-check the numbers, and flag any issues.

Spot-check SQL results

Verify a query's output makes sense

Check if these SQL results look right. The churn rate is coming out at 0.3% which seems too low for our product.

Identify bias in analysis

Check for sampling or survivorship bias

Review this cohort analysis for survivorship bias or other methodological issues before I use it to make a product decision.