---
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title: Configure Projected Predictions
collection: admin
version: current
locale: en-us
portal_url: https://docs.salesforce.com/admin/current/en-us/analytics/264-0-0/bi_edd_story_number_projected_predictions.md
canonical_url: https://help.salesforce.com/s/articleView?id=analytics.bi_edd_story_number_projected_predictions.htm&release=264.0.0&type=5
source_site: help.salesforce.com
content_type: documentation
content_hash: b80541c25b836ce50a0543e79e9ef4de669f22ab78dd8c00fc071032309dd280
description: Einstein Discovery allows you to provide trending data for numeric variables that factor into your predictions to make them more accurate. For example, you predict opportunity win/loss based on expected price fluctuations for raw materials. To factor price into your predicted outcome, use the Projected Predictions transformation and provide a dataset that projects the expected price for raw materials on the close date.
products:
  - CRM Analytics
  - Cross Cloud
release: "264"
---
# Configure Projected Predictions

Einstein Discovery allows you to provide trending data for numeric variables that factor into your predictions to make them more accurate. For example, you predict opportunity win/loss based on expected price fluctuations for raw materials. To factor price into your predicted outcome, use the Projected Predictions transformation and provide a dataset that projects the expected price for raw materials on the close date.

![Note](https://sf-zdocs-cdn-prod.zoominsoftware.com/tdta-analytics-bi-264-0-0-production-enus/ec791473-f5b4-4f64-a656-9104f455d966/images/icon_note.png)

Note Einstein Discovery stories are now models. We wish we could snap our fingers to update the name everywhere, but you can expect to see the previous name in a few places until we replace it.

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              <td data-label="User Permissions Needed" class="slds-cell-wrap" style="vertical-align:top;" headers="d137537e30 ">To configure number fields in a model:</td>
              <td class="slds-cell-wrap" style="vertical-align:top;" headers="d137537e30 ">Create
                and Update Einstein Discovery Models</td>
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1. In Model Setup, select a number variable, and click the **Settings** tab in the right panel.
2. Click the **Transform** dropdown menu and select **Projected Predictions**.
    
    ![Configure projected predictions.](https://sf-zdocs-cdn-prod.zoominsoftware.com/tdta-analytics-bi-264-0-0-production-enus/ec791473-f5b4-4f64-a656-9104f455d966/bi/images/bi/bi_edd_story_number_projected_predictions.png)
3. Select the dataset that contains the trend data.
    
    ![Select the dataset for projected predictions.](https://sf-zdocs-cdn-prod.zoominsoftware.com/tdta-analytics-bi-264-0-0-production-enus/ec791473-f5b4-4f64-a656-9104f455d966/bi/images/bi/bi_edd_story_number_projected_predictions_dataset.png)
4. Configure the projected prediction settings.
    
    ![Select the dataset for projected predictions.](https://sf-zdocs-cdn-prod.zoominsoftware.com/tdta-analytics-bi-264-0-0-production-enus/ec791473-f5b4-4f64-a656-9104f455d966/bi/images/bi/bi_edd_story_number_projected_predictions_settings.png)
    
     
    | Setting | Description |
    | --- | --- |
    | **Unique Identifier Column** | Select the unique identifier column in the trend dataset. |
    | **Variable Column** | Select the column in the trend dataset that maps to the selected variable in the model. |
    | **Time Interval Column** | Select the column in the trend dataset that represents the time interval. |
    | **Time Interval** | Select the time interval. |
    | **Number of Intervals to Project Ahead** | Select the number of time intervals to project ahead. |
    | **Seasonality** | Select the seasonality: **Auto** (default), **None**, or a number. |