To ensure meaningful reporting of key risk indicators (KRIs), data should be extracted from:

To ensure meaningful reporting of key risk indicators (KRIs), extracting data from a representative sample is essential. When we focus on KRIs, it's crucial to obtain information that accurately reflects the overall risk environment. A representative sample ensures that the data encompasses various scenarios and conditions that the organization might encounter, providing a comprehensive view of potential risks.

Using a representative sample allows the organization to identify trends and patterns that may not be apparent when relying on data from a limited or biased set of sources. This approach facilitates a more reliable assessment of the organization's risk posture and aids in making informed decisions regarding risk management strategies.

The choices that involve a variety of control types, automated systems, or direct sources may provide useful information but may not necessarily present a complete picture. These options could lead to skewed or less reliable insights if the data collection is not representative of the broader risk landscape. Hence, focusing on a representative sample is key to achieving meaningful and actionable reporting of KRIs.