Which of the following describes a benefit of using data analytics during an audit engagement?

A key benefit of data analytics is reduced audit risk because auditors can focus risk assessment more precisely, stratify populations, identify anomalies, test larger data sets, and direct procedures toward higher-risk transactions. This improves the relevance and depth of audit testing. Option A is not a benefit by itself; more data extracts may increase complexity if not controlled. Option C incorrectly links analytics to increased staff. Analytics may broaden coverage, but not because more staff are added. Option D is too broad because analytics may support planning, but its primary value is improved risk focus and testing precision. Internal auditors should use analytics to identify outliers, trends, duplicates, unusual relationships, and control exceptions. Therefore, Option B is correct.