Which term describes the risk that data quality issues lead to unreliable information and decisions?

Prepare for the ISACA IT Risk Fundamentals Test. Find flashcards and multiple choice questions, complete with hints and explanations. Ace your exam with confidence!

Multiple Choice

Which term describes the risk that data quality issues lead to unreliable information and decisions?

Explanation:
Focusing on data integrity means recognizing that information’s trustworthiness comes from accurate, complete, and consistent data. Integrity risk is the risk that data quality issues—such as errors, missing values, or inconsistent records—lead to unreliable information and poor decisions. When the data feeding reports and analytics are flawed, the conclusions drawn from them can be flawed as well, which is exactly what integrity risk concerns. Relevance risk deals with whether data are applicable to the decision, not their quality; asset value is about the importance or worth of assets, and attack vector refers to how a threat could reach a system. So the term that best describes this risk is integrity risk.

Focusing on data integrity means recognizing that information’s trustworthiness comes from accurate, complete, and consistent data. Integrity risk is the risk that data quality issues—such as errors, missing values, or inconsistent records—lead to unreliable information and poor decisions. When the data feeding reports and analytics are flawed, the conclusions drawn from them can be flawed as well, which is exactly what integrity risk concerns. Relevance risk deals with whether data are applicable to the decision, not their quality; asset value is about the importance or worth of assets, and attack vector refers to how a threat could reach a system. So the term that best describes this risk is integrity risk.

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