Verification typically follows which data cleansing stage?

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Multiple Choice

Verification typically follows which data cleansing stage?

In data quality workflows, verification follows data cleaning to confirm the cleaning achieved the intended quality improvements. After fixing duplicates, correcting errors, and handling missing values, you verify to ensure the data now meets quality standards, with accuracy, completeness, and consistency. The other options fit different parts of the data lifecycle: data collection comes before cleaning, visualization is used to explore data and spot issues (often aiding the cleaning process), and backup is about protecting data rather than validating post-cleaning quality. So, verification is performed after cleaning to confirm the results.

In data quality workflows, verification follows data cleaning to confirm the cleaning achieved the intended quality improvements. After fixing duplicates, correcting errors, and handling missing values, you verify to ensure the data now meets quality standards, with accuracy, completeness, and consistency. The other options fit different parts of the data lifecycle: data collection comes before cleaning, visualization is used to explore data and spot issues (often aiding the cleaning process), and backup is about protecting data rather than validating post-cleaning quality. So, verification is performed after cleaning to confirm the results.

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