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Managing simulation tests in Pega Customer Decision Hub

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You can perform various maintenance tasks on the simulation tests that you created in Pega Customer Decision Hub to quickly and effectively manage simulations in your application.

  • Filtering simulation tests

    You can filter through simulation tests in Pega Customer Decision Hub to quickly find the simulation tests that you need, for example, to create a duplicate of an existing simulation test. You can filter simulation tests by input, application revision, or operator.

  • Viewing additional simulation test details

    You can view additional details for each simulation test in the Execute stage. Additional details can help you correctly assess performance of target strategy on the component level as well as view record distribution across all decision data nodes in your application.

  • Configuring reports assigned to simulation test outputs

    You can review simulation tests by inspecting a variety of reports that can be assigned to a simulation output. Additionally, you can quickly respond to changes in business requirements or obtain additional data by adding a new report to the simulation.

  • Comparing simulation tests

    You can compare outputs of two simulation tests in Scenario Planner. For example, by comparing different strategies, you can determine the strategy that best fulfills your business requirements. By simulating different strategies you can also assess how modifications in your product offering can affect product sales.

  • Assigning custom reports to simulation tests

    You can create custom reports and assign them to simulation tests. By using this feature, you can adjust simulation reports to your business needs, for example, by configuring a report to show additional or more detailed data.

  • Scheduling simulation tests

    You can schedule a one-off simulation to run at a specific time. This option is useful when you expect a third-party system to populate customer data at a certain time or you want to simulate on large amounts of customer data during off-peak hours to minimize memory consumption in your application.

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