Our analytics and operations approach
When goals are time-sensitive, leaders need information while there is still time to act and not after the fact.
Across sectors, clients partner with Mathematica on analytics and operations work that keeps time-sensitive goals on track, identifies opportunities for improvement, and supports faster, more confident decisions. From rapid-cycle evaluation to the practical application of Bayesian methods—which update insights as new data become available—we apply these tools in real-world settings to help programs, agencies, and organizations turn evidence into timely action.
Across this work, the goal is the same: help our clients learn, adapt, and act sooner. Browse our current work to see these approaches in action.
Statistical significance is not enough
Research based on statistical significance alone can miss important, nuanced results and be misinterpreted. That's why our researchers developed BASIE, a framework that integrates reimagined Bayesian methods with traditional statistical research for more relevant and action-ready evidence in real time.
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Keep oversight one step ahead
Mathematica helps agencies approach oversight as a real-time intelligence function—a proactive capability that uses integrated data and practical analytic design to strengthen accountability and performance.
Speak with our real-time monitoring experts.
Test and refine improvement strategies in real time
Our team's rapid-cycle learning approach led to a Kentucky healthy marriage and relationship education program's highest monthly enrollment to date, a 45 percent increase from the previous month.
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Insights you can trust. Evidence you can use.
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