Which type of data can provide numerical insights during an audit?

Quantitative data is used to provide numerical insights during an audit, as it consists of measurable quantities that can be counted or expressed statistically. This type of data allows auditors to perform calculations, derive metrics, and analyze trends, which can reveal patterns that are critical for assessment and decision-making processes. For example, quantitative data might include figures related to production rates, defect counts, or financial measurements, all of which can be statistically analyzed to reveal underlying issues or successes.

In contrast, qualitative data focuses on descriptive characteristics rather than numerical values and is more subjective, comprising opinions or observations that do not lend themselves to statistical analysis. Descriptive data is related to qualitative data and typically involves providing context or details rather than numerical insights. Subjective data is influenced by personal perspectives and cannot provide the objective, numerical insights that quantitative data offers. Therefore, for audits aiming to achieve clear and concrete numerical insights, quantitative data is essential.