Well-developed, data-driven risk measurements should be:

Risk measurements should reflect various organizational levels, not just the lowest, to provide a comprehensive view.

While operational data is crucial, risk measurements require analysis and context, not just direct feeds, and should integrate various data sources.

Reporting data the same day it is collected might not allow sufficient time for analysis and contextualization to provide meaningful risk insights.

Effective data-driven risk measurements are designed to be forward-looking, anticipating potential future risks and their impacts rather than merely reporting past events. This enables management to make informed, proactive decisions to mitigate emerging threats and capitalize on opportunities, aligning with strategic objectives.