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Initializing DMSample data

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Updated on April 5, 2022

Generate the data that you need to fully explore DMSample use cases by creating and running the Initialize Application case. By initializing DMSample data, you populate database tables with sample customer and analytical records, simulate the previous customer interactions and survey results, create simulation data sources, and generate work assignments that you can view in the Case Manager portal.

Before you begin: Configure your operator ID with the following settings:
  • Access group: DMSample:Administrators
  • Team: default@DMOrg
    Specifying operator access group and team
For more information, see Creating operator IDs.
  1. In the header of Dev Studio, click CreateNewInitialize Application.
  2. On the Initialize Application tab, initialize the case by clicking Start.
  3. Complete all case stages by following on-screen instructions.
    Each stage contains a detailed description of the artifacts that you generate by progressing through the case.
  4. Verify that the system populated Interaction History reports with impressions and responses:
    1. In the header of Dev Studio, click ConfigureDecisioningMonitoringInteraction History.
    2. Check if the Interaction History reports contain data.For example:
      Sample Interaction History reports
      The Interaction History landing page shows the accept rate
                                        for each proposition group. Tablets have the highest accept
                                        rate.
      Interaction History is the data layer that stores all interactions with customers. The interactions consist of customer responses to given propositions. By providing Interaction History records to a next-best-actions strategy, you can discover which proposition your customer is most likely to accept.
  5. Verify that the system created data sources for Visual Business Director:
    1. In the header of Dev Studio, click ConfigureDecisioningMonitoringVisual Business Director.
    2. Check if Visual Business Director data sets contain data.For example:
      Visual Business Director data sources
      The data sources listed include: Actuals, Established
                                        Professional, Potential Entrepreneur, and Young
                                        Professional.
      With Visual Business Director, you can visualize decision results and fully understand the likely impact of each decision before you make that choice.
  6. Verify if the system created adaptive models:
    1. In the header of Dev Studio, click ConfigureDecisioningModel Management.
    2. Check if the Model Management landing page contains models.For example:
      Adaptive models on the Model Monitoring landing page
      List of adaptive models on the Model Monitoring landing
                                        page.
    3. Click a model name to view the reports.
      Monitoring adaptive model performance
      The chart for a sales model shows the success rate and
                                        performance for different propositions, for example Samsung
                                        Galaxy J7.
      Adaptive models calculate who is likely to accept or reject an offer by capturing and analyzing response data in real time. With adaptive models, you can select the best offer for your customer without providing information on previous interactions.
  7. Verify that the event browser, which contains the Customer Movie timeline, contains events.
    1. In the navigation pane of Dev Studio, click Records.
    2. Expand the Data Model category, and then click Data Flow.
    3. Click any Data Flow rule that writes data in the event store, for example, Offer CMF.
    4. On the Data Flow tab, right-click the Event summary convert shape, and then click Preview.
    5. On the clipboard page, copy a customer ID from the pxCustomerId property.
    6. In the header of Dev Studio, click ConfigureDecisioningInfrastructureCustomer MovieEvent Catalog.
    7. In the Action column, start a run for the data flow that you selected in step 7.c by clicking Start.
    8. When the data flow runs in the event catalog are completed, click the Event Browser tab.
    9. In the Search criteria section, in the Customer ID field, enter the customer ID that you copied in step 7.e.
    10. Click Find events.
    11. Check if the customer timeline contains events of various types.For example:
      Events for customer CE-715 in the event browser
      Events for the customer include three dropped calls in the
                                        last 24 hours, Basic Coverage offered, outcome was
                                        Reject.
      In the event catalog, you can create multiple event types to collect customer data from specific input streams or batch uploads. With Customer Movie, you can make informed and personalized decisions for your customers.
What to do next: Populate predictive models reports by generating responses. For more information, see Initializing predictive model monitoring.
    • Previous topic Exploring key decision management features with DMSample
    • Next topic Initializing predictive model monitoring
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