According to Larry English, what is one category of data quality?

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Multiple Choice

According to Larry English, what is one category of data quality?

Explanation:
Timeliness is a crucial category of data quality as defined by Larry English. It refers to the relevance and availability of data within a time frame suitable for its intended use. This means that the data must be up-to-date and provided in a timely manner to be effective for decision-making processes. If data is not timely, it can lead to outdated insights, resulting in poor decisions that may not accurately reflect current conditions or realities. Timeliness is particularly important in environments where conditions change rapidly, such as finance, healthcare, or inventory management. For instance, a business needs the latest sales data to make informed inventory decisions; outdated data, even if it is accurate, may lead to overstocking or stockouts. In contrast, the other categories do not specifically address the chronology of data, making them less relevant to core aspects of data quality as identified by Larry English.

Timeliness is a crucial category of data quality as defined by Larry English. It refers to the relevance and availability of data within a time frame suitable for its intended use. This means that the data must be up-to-date and provided in a timely manner to be effective for decision-making processes. If data is not timely, it can lead to outdated insights, resulting in poor decisions that may not accurately reflect current conditions or realities.

Timeliness is particularly important in environments where conditions change rapidly, such as finance, healthcare, or inventory management. For instance, a business needs the latest sales data to make informed inventory decisions; outdated data, even if it is accurate, may lead to overstocking or stockouts.

In contrast, the other categories do not specifically address the chronology of data, making them less relevant to core aspects of data quality as identified by Larry English.

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