Which analytics approach is used to drive positive outcomes and lower loss costs?

Which analytics approach is used to drive positive outcomes and lower loss costs?

• A. Predictive Modeling - AI
• B. Descriptive Statistics
• C. Qualitative Analysis
• D. Historical Reporting

Answer: (A)

Predictive modeling with AI uses data to forecast future outcomes and guide proactive actions that reduce loss costs. By analyzing patterns from past claims, it assigns risk scores and predicts likely costs, durations, and escalation points for individual cases. This enables targeted interventions—such as early case management, return-to-work plans, or fraud detection—before costs spike, directly driving better outcomes and lower overall losses. Descriptive statistics describe what happened in the past, providing summaries like averages and trends but not directing future actions. Qualitative analysis gathers non-numeric insights and perspectives, which are valuable but don’t quantitatively forecast risk at scale. Historical reporting focuses on reporting past results rather than predicting future events. In the context of lowering loss costs through proactive management, predictive modeling with AI is the approach that best enables anticipation and intervention.

Predictive modeling with AI uses data to forecast future outcomes and guide proactive actions that reduce loss costs. By analyzing patterns from past claims, it assigns risk scores and predicts likely costs, durations, and escalation points for individual cases. This enables targeted interventions—such as early case management, return-to-work plans, or fraud detection—before costs spike, directly driving better outcomes and lower overall losses.

Descriptive statistics describe what happened in the past, providing summaries like averages and trends but not directing future actions. Qualitative analysis gathers non-numeric insights and perspectives, which are valuable but don’t quantitatively forecast risk at scale. Historical reporting focuses on reporting past results rather than predicting future events. In the context of lowering loss costs through proactive management, predictive modeling with AI is the approach that best enables anticipation and intervention.