PSI: Mozn Policy Simulation Engine

Given the current transformation in the region, many new policies are being tested and implemented. Data Analytics can play a major role in determining the best policy to implement. We have thus developed Mozn psi, a policy simulation engine that simulates scenarios based on different KPIs and outcomes. Our platform is intuitive, easy-to-use and works with many of the different types of data from databases to spreadsheets.

Psi Dashboard gives users the ability to access the most critical KPIs relevant to their policy

Psi Dashboard gives users the ability to access the most critical KPIs relevant to their policy

Psi Simulator allows analysts and decision-makers to ask

Psi Simulator allows analysts and decision-makers to ask "what-if?" questions for many policy levers and assess impact

Psi Optimizer provides an AI-driven approach way to optimize policy levers based on specified KPIs

Psi Optimizer provides an AI-driven approach way to optimize policy levers based on specified KPIs

Value Proposition

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Conserve organizational resources by testing different scenarios before applying new policies.

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Optimize operations based on different outcomes and KPIs.

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Integrate platform to the different data sources within the organization.

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Ease of use by all organizational personnel with a point and click system.

Sample use cases

  • A financial subsidy program wants to determine the best level of subsidy optimizing for some economic indicators.
  • A labor department wants to determine the impact and levers for implementing a localization policy.

Mozn case studies

1.

Situation

A large government program had challenges identifying the best allocation of resources for a specific policy.

Solution

Psi was deployed to analyze the impact and effectiveness of different policies that were being considered.

Impact

Reduced time dramatically to formulate the policy of the program.

2.

Situation

A subsidy program wanted to measure their performance and proposed impact.

Solution

Psi was deployed with AI-driven features to help assist decision makers on current performance, predict future performance and assist for future policy options for the initiative.

Impact

Program policy was reformulated, and adoption rate of the program increased multiple folds.