Preparing Predictive Scenario Output Datasets

There are three ways to create visualizations using output data generated from a classification or regression predictive scenario.

1. Consume the generated predictions in a story.

   To create R visualizations using your output dataset in a story, you must ensure that the following is kept in the dataset:

   • The application data set variables, if these variables are not available from another source
   • The predictions
   • The key variable(s)

   You can then upload the output data set directly in a story.

   Once you check that the relevant information is in the dataset, you can create your story. This creates an embedded model in a story.

2. Combine existing data with the generated predictions and consuming them in a story.

   It's also possible to add new data to a previously created prediction. To do this, you must keep the following information in your output dataset:

   • The predictions
   • The key variable(s)

   Using the key variable, or variables, you can blend the predictions with other data sources in a story.

3. Import the output data set in SAP Analytics Cloud models.

   You can create a model using the output dataset to create a story. From the story, you can create your R visualization.

There are three ways to create visualizations using output data generated from a time series predictive scenario:

1. Consume your output data set in a story.
   • To consume your output data set in a story, you need the forecasts.
   • The date and signal are selected automatically.

   Once you check that the relevant information is in the dataset, you can create your story. This creates an embedded model in a story.

2. Combine existing data with the generated predictions and consuming them in a story.
   • To combine existing data with your predictions, you need the forecasts in your output data set
   • The date and signal are selected automatically
   • Using the date variable, you can blend the predictions with other data sources, in the context of a story
3. Import the output data set in SAP Analytics Cloud models.

   You can first use the output data set to create a model and then consume it in a story.