---
schema_version: "1"
id: ec3572109253fec07931773773533d40ce445e76bf6ec920ed05c3b67e29dee0
title: Add a Dataset to Fine-Tune Your Predictions
collection: admin
version: current
locale: en-us
portal_url: https://docs.salesforce.com/admin/current/en-us/ind/264-0-0/configure_crm_analytics_dataset_additional_features.md
canonical_url: https://help.salesforce.com/s/articleView?id=ind.configure_crm_analytics_dataset_additional_features.htm&release=264.0.0&type=5
source_site: help.salesforce.com
content_type: documentation
content_hash: 905c2f90b7fd8c5c645f23a562daf3cfe000e3a97993e44fb60e5f4776bbbedf
description: To analyze your data better, you can optionally include input features that are in a CRM Analytics dataset.
products:
  - Industry Solutions
  - Cross Cloud
release: "264"
---
# Add a Dataset to Fine-Tune Your Predictions

To analyze your data better, you can optionally include input features that are in a CRM Analytics dataset.

### Required Editions

<table class="slds-table slds-table_bordered slds-max-medium-table_stacked slds-m-bottom_small edition"><colgroup><col></colgroup><tbody><tr class=""><td class="slds-cell-wrap" style="vertical-align:top;">Available in: Lightning Experience</td></tr></tbody></table>

<table class="slds-table slds-table_bordered slds-max-medium-table_stacked slds-m-bottom_small permission">
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            <th scope="colgroup" class="slds-cell-wrap" colspan="2" style="text-align:center;vertical-align:top;" id="d5107e54">User Permissions Needed</th>
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            <td data-label="User Permissions Needed" class="slds-cell-wrap" style="vertical-align:top;" headers="d5107e54 ">To set up a CRM Analytics template configuration:</td>

            <td class="slds-cell-wrap" style="vertical-align:top;" headers="d5107e54 ">Scoring Framework Admin</td>

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1. From Setup, in the Quick Find box, enter Industries Cloud Einstein, and then select **Scoring Framework**.
2. On the card of the template configuration that you want to use, click ![Quick actions menu button](https://sf-zdocs-cdn-prod.zoominsoftware.com/tdta-ind-ai_accelerator_scoring_framework-264-0-0-production-enus/579cbc22-5fe0-45e4-b0a0-608ab8690ae6/ai_accelerator_scoring_framework/images/quick_action_menu.png), and select **Edit**.
3. For Do You Want to Include a CRM Analytics Dataset with Additional Features?, click **Set Up**.
4. Select the CRM Analytics dataset that contains the input features that you want to add.
5. Select a field in the CRM Analytics dataset to join the dataset with the object you’re using for training and scoring.
6. Select a field from the object that you’re using for training and scoring to join the dataset.
7. To continue defining the template configuration, click **Save & Continue**.
    
    You can also save your changes and return to the Scoring Framework Setup page. If you don’t want to use additional input features, click **Clear Selections**.

![Example](https://sf-zdocs-cdn-prod.zoominsoftware.com/tdta-ind-ai_accelerator_scoring_framework-264-0-0-production-enus/579cbc22-5fe0-45e4-b0a0-608ab8690ae6/images/icon_example.png)

Example An automobile company uses Scoring Framework to get predictions about leads who are likely to convert into accounts. The automobile company’s Salesforce admin selects Lead as the object for training and scoring. Apart from the data in the Lead records, the company also wants to use its partners’ database to get the lead details. So, the Salesforce admin creates an external connection to connect and sync the external lead data to CRM Analytics and store it in a CRM Analytics dataset. The admin then selects this dataset to provide insightful input features for the model.