---
schema_version: "1"
id: f50c43179e020ef1549743f3ad584359b6c54fce1a0c79847064399994ae2eff
title: Take Action on Predictions in Visualizations and Dashboards
collection: admin
version: current
locale: en-us
portal_url: https://docs.salesforce.com/admin/current/en-us/release-notes/262-0-0/rn_tua_visualization_dashboard_predictiveAI_support.md
canonical_url: https://help.salesforce.com/s/articleView?id=release-notes.rn_tua_visualization_dashboard_predictiveAI_support.htm&release=262.0.0&type=5
source_site: help.salesforce.com
content_type: documentation
content_hash: 8dfc0b8305d92b29a02ae7646f67d05f85c52cc0e18212a8fbbbcfd11d2da619
description: Surface machine learning predictions in Tableau Next visualizations and dashboards with the Predict() function defined in the semantic model. Compare historical data and predicted outcomes side by side in a visualization to identify trends, risks, and opportunities. Access prediction scores, drivers, and recommendations right where you visualize data and take action faster. Use prediction fields in calculated fields, filters, and aggregations to refine and extend your analyses.
products:
  - Cross Cloud
release: "262"
---
# Take Action on Predictions in Visualizations and Dashboards

Surface machine learning predictions in Tableau Next visualizations and dashboards with the Predict() function defined in the semantic model. Compare historical data and predicted outcomes side by side in a visualization to identify trends, risks, and opportunities. Access prediction scores, drivers, and recommendations right where you visualize data and take action faster. Use prediction fields in calculated fields, filters, and aggregations to refine and extend your analyses.

**Where:** This change applies to Tableau Next in Enterprise, Performance, and Unlimited editions.

**Why:** For example, after analysts add prediction fields to a sales dashboard, sales reps can compare historical performance with predicted outcomes. When they identify a low likelihood-to-close score, they can investigate the prediction drivers and take steps to revive the opportunity.

**How:** To create a prediction field, create a Predict entity in the Semantic Model Builder. Select an existing machine learning model and bind the model inputs to semantic model fields. Choose additional insights, such as top drivers and recommendations, and save the definition.