Which Risk Management steps use Predictive and Prescriptive Analytics?

Which Risk Management steps use Predictive and Prescriptive Analytics?

• A. Response and Recovery
• B. Preparedness
• C. Response
• D. Recovery

Answer: (A)

Predictive and prescriptive analytics are especially valuable when decisions must be made under evolving disruption and during efforts to return to normal. In the response phase, you need to anticipate how the situation might unfold—such as how outages could spread or how demand for shelter, medical supplies, or power backup may change—and you also need concrete steps to take right away. Predictive analytics provide forecasts of likely developments, while prescriptive analytics translate those forecasts into actionable recommendations, like where to deploy teams, how to route supplies, and which services to prioritize to protect people and assets. In the recovery phase, the aim is to restore operations as quickly and cost-effectively as possible. Predictive models help estimate future demand for repair crews, materials, and logistics over time, and prescriptive models identify the best sequencing of repairs, supplier selections, and distribution plans to accelerate rebuilding and minimize downtime. So, the stages where predictive and prescriptive analytics actively guide decisions to manage disruption and restore normal operations are the response and recovery phases.

Predictive and prescriptive analytics are especially valuable when decisions must be made under evolving disruption and during efforts to return to normal. In the response phase, you need to anticipate how the situation might unfold—such as how outages could spread or how demand for shelter, medical supplies, or power backup may change—and you also need concrete steps to take right away. Predictive analytics provide forecasts of likely developments, while prescriptive analytics translate those forecasts into actionable recommendations, like where to deploy teams, how to route supplies, and which services to prioritize to protect people and assets.

In the recovery phase, the aim is to restore operations as quickly and cost-effectively as possible. Predictive models help estimate future demand for repair crews, materials, and logistics over time, and prescriptive models identify the best sequencing of repairs, supplier selections, and distribution plans to accelerate rebuilding and minimize downtime.

So, the stages where predictive and prescriptive analytics actively guide decisions to manage disruption and restore normal operations are the response and recovery phases.