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Deploying sample production data to a Business Operations environment for testing

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Simulation tests provide you with significant insight into how your changes to decision logic affect the results that your strategies produce. However, if tests are based on sample data, the results do not always reflect the effect that your changes have in real-life scenarios. To ensure that simulations are reliable enough to help you make important business decisions, you can deploy a sample of your production data to a dedicated Business Operations environment for testing.

By running simulations on sample production data that you migrate to the testing environment, you can predict the impact of changes to your decision logic before running them on a live production environment. This functionality helps you optimize and adjust your decision strategies by analyzing and comparing realistic simulation results.

Learn how you can configure the system to migrate sample production data to run reliable simulations:

  • Configuring Deployment Manager for data migration pipelines

    Use Deployment Manager to configure and run continuous integration and delivery (CI/CD) workflows for your Pega applications from within Pega Platform. You can create a standardized deployment process so that you can deploy predictable, high-quality releases without using third-party tools.

  • Testing your implementation

    Verify whether your environments and pipelines work as designed by running a change management test case and deploying the associated revision to production.

  • Configuring the system for running simulations of decision strategies

    When you make changes to your decision data, data flows, and data models, the results of your updates impact your decision strategies. To verify what effects your changes produce on your customer-oriented campaigns, you can simulate the decision process with these updates on sample production data, including customer information, Adaptive Decision Manager input, and interaction history. After comparing the simulation results with your current outcomes, you can decide whether you want to implement your modifications.

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