Predictive Analytics for Resource Allocation
Overview
A Department of Homeland Security agency needed a more data-driven approach to managing resources amid significant changes in policy and operating conditions.
The Challenge
Recent data had been disrupted by the pandemic, making historical patterns less reliable for forecasting. Leadership needed to understand future demand and determine where personnel and funding could have the greatest impact.
The Solution & Benefits
Simatree evaluated predictive technologies, identified additional variables, and developed repeatable forecasting tools to model policy and demand scenarios. These tools gave leaders greater visibility into evolving conditions and supported more timely resource decisions.
Measuring Success
The models supported decision-making for an annual agency budget of approximately $5 billion.
The Results
The work contributed to more than $130 million in transportation savings and supported the redeployment of nearly 1,500 personnel to higher-risk areas.