Before analysis, a company collects data from countries that use different date formats. Which action would improve the data integrity?

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Multiple Choice

Before analysis, a company collects data from countries that use different date formats. Which action would improve the data integrity?

Standardizing dates into one uniform representation eliminates interpretation differences that arise when data come from multiple countries with different date formats. When everyone uses the same format, dates are read, compared, sorted, and joined consistently, which prevents errors and misreads that can undermine data reliability. While other options could also reduce ambiguity (for example, numeric timestamps), adopting a single, agreed-upon date format provides a straightforward, maintainable way to preserve data integrity across the dataset.

Standardizing dates into one uniform representation eliminates interpretation differences that arise when data come from multiple countries with different date formats. When everyone uses the same format, dates are read, compared, sorted, and joined consistently, which prevents errors and misreads that can undermine data reliability. While other options could also reduce ambiguity (for example, numeric timestamps), adopting a single, agreed-upon date format provides a straightforward, maintainable way to preserve data integrity across the dataset.

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