Using Your Acquired Dataset Generated by a Time Series Predictive Scenario

Depending on how you want to use your Times Series Predictive Scenario, you need to keep different information in your generated dataset containing the predictive forecasts.

Consuming your generated dataset with forecasts in a story
To consume your generated dataset in a story, you need to keep at least the predictive forecasts.
Note
The date and signal are selected automatically.

You can then consume the generated dataset directly in a story:

Go to Start of the navigation pathFiles Next navigation step Create Next navigation step StoryEnd of the navigation path, then Access & Explore Data. Select Data acquired from an existing dataset or model and browse up to your generated dataset. As soon as a change will be done in the generated dataset, the story will be automatically updated.
Note
When you upload the generated dataset in a story, it implicitly becomes an "embedded" model.

For more information, refer to the related link Creating a new story.

Combining existing data with the generated predictions and consuming them in a story
To combine existing data with your predictions, you need to keep the forecasts in your generated dataset.
Note
The date and signal are selected automatically.

Thanks to the date variable, you can blend the predictions with other data sources, in the context of a story.

For more information, refer to Blending Data.

Importing the generated dataset containing the forecast in SAP Analytics Cloud models

You can first use the generated dataset to create a model and then consume it in a story.

To do so:
  1. Create a model (from the main menu Start of the navigation pathCreate Next navigation step ModelEnd of the navigation path).

  2. Select Get data from a data source.
  3. From the proposed list, select Dataset and browse up to your generated dataset.
Note
You will then be able to easily share this model with other users.

For more information, refer to the related link Creating a New Model and Model preferences.