Task 1: Importing a sample decision service and exploring resources

You import and explore a sample decision service. Then, you download and explore a PMML file.

Step 1: Importing and exploring a decision service

  1. Sign in to Decision Intelligence using your instance credentials.
  2. Create a decision automation.
  3. Click New decision +.
  4. Click Industry samples and select Telecom. Then, click Import.

    It contains three decision services:

    • Customer retention uses decision models to recommend the best offer to make to customers in order to prevent churn.
    • Transparent ML retention uses transparent predictive models to predict churn probability and customer lifetime value.
    • Retention with ML uses predictive models connected to machine learning providers to predict churn probability and customer lifetime value.
  5. Open the Customer retention decision service.
  6. Explore the imported decision service:
    1. Open the Data data model in the Data tab to review the defined types.
    2. Navigate back to the decision service name in the breadcrumbs and open the Churn decision model. This model uses rules to predict customer churn.
    3. Navigate back to the decision service name in the breadcrumbs and open the Retention offer decision model. This model depends on the Churn decision model output to select a compatible retention offer in a list of potential offers.

Step 2: Downloading and exploring a PMML file

  1. Download the churn.pmml file.

    This ruleset model was build using the churn.csv data set.

  2. Open the PMML file and explore the data values defined in the DataDictionary part.