Creating a Predictive Model

Once you've created your predictive scenario, you can add your first predictive model.

Depending on the type of predictive scenario you have created and the training data source type you will use to train your predictive model, the predictive model settings can be different.
Note
Don' forget to keep in mind the following when:
  • Using an acquired dataset as data source: Don’t forget that an acquired dataset must be uploaded in SAP Analytics Cloud, under the Files area, before you can use it.

    For more information, see Datasets for Smart Predict.

  • Using a live dataset as data source: Before you start using live datasets as data source, you need to need to check with your administrator that your live SAP HANA data repository works. For more information, see Setting up Live SAP HANA Data Access for Smart Predict and Creating a Live Dataset.
  • Using a planning model as data source (Time series predictive scenario only): Before you can use your planning model as a data source, you must ensure that you have a least read access to it. There are also some specificities when currencies conversion is enabled. See How does Smart Predict Support Currencies Defined in Planning Model?.
Note
Keep in mind that your training and application data source must come from the same data source location. You can't apply a predictive model on a live dataset if it was trained with an acquired dataset, nor can you apply a predictive model on an acquired dataset if it was trained using a live one.

Regarding planning model: the same planning model you use as a source will be the one where you save the predictive forecasts back.

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You've trained your first predictive model using your training data source and it's now time to evaluate if you can use it with confidence to generate your predictions. You've assessed the performance of your predictive model and you're confident using it to generate predictions. Once the predictions are generated, a new dataset is created. You can augment your SAP Analytics Cloud stories or models using the data available in this generated dataset. The process might differs depending on the type of dataset (acquired or live) you used to generate this dataset and the insights you want to reuse in SAP Analytics Cloud. Before you train your classification or regression predictive model, you need to specify how you want your predictive model to be trained through the Settings panel. Before you train your Time Series predictive model using a planning model as data source, you need to specify how you want your predictive model to be trained through the Settings panel. Before you train your Time Series predictive model using a dataset as data source, you need to specify how you want your predictive model to be trained through the Settings panel.