Examine, Evaluate, and Understand
Quantitative policy analysis is used to examine, evaluate, and understand the impact of a policy on a given industry or the public. Policy analysis can be descriptive (i.e., analysis of existing policy) or prescriptive (i.e., analysis of a proposed policy) in nature. Policy analysis involves research, statistical analysis, and mathematical model building. When performed correctly, quantitative policy analysis can help decision makers achieve a desirable outcome.
Capabilities
Emprata employs a team of data scientists and mathematicians to assist with an organization’s policy decisions. We specialize in analyzing and visualizing data, and developing models that are effective in quantifying the direct and indirect impacts of a policy. This allows decision makers to consider “what-if” scenarios – helping them to evaluate and adjust the policy in an effort to mitigate risks while meeting policy objectives.
Approach
Collaborating closely with stakeholders (i.e., engineers, economists), we use the following approach when performing Quantitative Policy Analysis:
- Perform systems analysis in an effort to understand the policy
- Develop models to quantify policy impacts using optimization, simulation, and predictive analytics
- Validate the model to verify that it represents the policy and is acceptable by the public or industry
- Educate policy makers on the model, implications, and calculated outcomes
- Identify and test additional scenarios within the model to further mitigate risk