What Data Analysts Do When Data Is Missing or Wrong?

Ravendracroma25 Feb, 2026Education

When data is missing or wrong, data analysts first identify errors through validation and profiling. They clean data by removing duplicates, correcting formats, and handling null values using imputation or exclusion. Analysts cross-check with reliable sources, consult stakeholders for clarification, and document assumptions to ensure accurate, trustworthy insights and decisions.