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.
uPlusTelco is about to release a new line of tablets. Before the launch, the marketing team is determining the demand for the new products among both their current and prospective customers. As the lead marketing strategy specialist in that team, you are responsible for designing and implementing the simulation plan for the products release. To ensure that the results are reliable, you want to use real customer data of your company to test how the offers with new products might be received, to update your global marketing strategy accordingly.
To achieve that goal, simulate how changes to decision strategies impact their outcomes by performing the following procedures:
- Configuring the data migration settings.
- Promoting an application in the production and Business Operations environments.
- Optional: Configuring Deployment Manager for data migration pipelines.
- Export and import data by doing one of the following actions:
- Automatically, by Deployment Manager: Exporting and importing simulation data automatically with Deployment Manager.
- Manually: Exporting data from the production environment manually and Importing sampled data into the simulation environment manually.
Important: If your Pega Customer Decision Hub application is deployed on Pega Cloud environment, you must use Deployment Manager to migrate the sample customer data.
- Testing the impact of strategy design changes with simulation runs
- Running a decision strategy simulation on sampled production data.
- Using sampled production data to test the performance of proposition filters