Define data assurance.

Define data assurance.

• A. Assurance is defined as external, independent review on the credibility of the data.
• B. Assurance is internal verification only.
• C. Assurance means the data is error-free.
• D. Assurance is optional.

Answer: (A)

Data assurance is about giving users confidence in the data through independent evaluation. The best description is an external, independent review of the data’s credibility. A third party should assess how the data was collected, how calculations were performed, and whether the results align with the applicable reporting framework, then provide an opinion on whether the data is fairly stated. Relying only on internal verification lacks the objectivity and external perspective that stakeholders rely on for trust. Assurance is not a guarantee that data is perfect or error-free; it offers reasonable assurance that the information is reliable and presented in a way that reflects the framework used, within the agreed scope. While some teams may view assurance as optional, it is commonly sought to strengthen credibility with investors, regulators, and other readers.

Data assurance is about giving users confidence in the data through independent evaluation. The best description is an external, independent review of the data’s credibility. A third party should assess how the data was collected, how calculations were performed, and whether the results align with the applicable reporting framework, then provide an opinion on whether the data is fairly stated.

Relying only on internal verification lacks the objectivity and external perspective that stakeholders rely on for trust. Assurance is not a guarantee that data is perfect or error-free; it offers reasonable assurance that the information is reliable and presented in a way that reflects the framework used, within the agreed scope. While some teams may view assurance as optional, it is commonly sought to strengthen credibility with investors, regulators, and other readers.