Which of the following best describes data quality principles?

The principle that data relevance and accuracy are crucial for processing is essential in information privacy and data management. Data quality is fundamentally tied to how well data serves its intended purpose, meaning that only accurate and relevant data can be reliably used for decision-making, compliance, and operational processes. Poor data quality can lead to erroneous conclusions, affecting an organization's performance and trustworthiness.

Relevance ensures that the data collected meets the needs of the organization and is pertinent to the context in which it is used. Accuracy signifies that the data reflects true values or states, which is critical in maintaining the integrity of data-driven processes. Therefore, this principle emphasizes that effective data handling and decision-making depend on the foundational quality of the data at hand. High-quality data is more likely to lead to successful outcomes in processing and fulfilling the intended purposes.