Veracity refers to the reliability, accuracy, trustworthiness, and quality of big data. Big data may be large, fast- moving, and varied, but it is not useful unless the organization can trust its accuracy and consistency. Variety refers to different forms and sources of data, such as structured, semi-structured, and unstructured data. Value refers to the usefulness or business benefit derived from data. Validity is a general data quality concept but is not one of the most common "V" dimensions used to describe big data in this context. Internal auditors should consider veracity when relying on analytics, because poor-quality data can lead to incorrect conclusions, false exceptions, and weak assurance. Therefore, Option A is correct.