---
schema_version: "1"
id: f5bafd614b18321f9f458a03a4b85de04269599c1a97314e79e63bc0475a582c
title: High Cardinality Alert
collection: admin
version: current
locale: en-us
portal_url: https://docs.salesforce.com/admin/current/en-us/analytics/264-0-0/bi_edd_data_alert_cardinality.md
canonical_url: https://help.salesforce.com/s/articleView?id=analytics.bi_edd_data_alert_cardinality.htm&release=264.0.0&type=5
source_site: help.salesforce.com
content_type: documentation
content_hash: 84fe95a3ef7ef9c4368f160b996bfb66c0c15f473e999014c5dcb5f8c52c5021
description: Indicates that a variable contains more than 100 unique values.
products:
  - CRM Analytics
  - Cross Cloud
release: "264"
---
# High Cardinality Alert

Indicates that a variable contains more than 100 unique values.

![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.

## Actions to Consider

To address high cardinality variables, you have the following options:

- Let Einstein Discovery ignore unique values above 100 and group them into a reserve category.
- Add one high cardinality variable, with a maximum of 200 unique values, to a model. Enable Allow high cardinality for {field name}.
- Combine field values to minimize unique values. Other high cardinality variables are limited to 100 unique values. Enable Combine remaining values into Other (Recommended).
- Limit the number of unique values by clicking the variable’s Settings tab and deselecting the values to exclude.
- For text variables, use fuzzy matching to consolidate categories with slightly different spelling variations. To learn more, see [Apply Fuzzy Matching for Smarter Categorizations](https://help.salesforce.com/s/articleView?id=analytics.bi_edd_story_fuzzy_matching.htm&release=264.0.0&type=5 "Fuzzy matching adds uniformity to spelling variations in variables, resulting in smarter categorizations and better predictions. Einstein Discovery transforms the data at prediction time, enabling you to skip cleansing during data prep.").

## Detection Methodology

Einstein Discovery automatically alerts you when it detects a variable that contains more than 100 unique values.

#### See Also

- [Handle Quality Alerts](https://help.salesforce.com/s/articleView?id=analytics.bi_edd_quality_alert.htm&release=264.0.0&type=5 "Einstein Discovery displays quality alerts when it detects issues in your training data, your model’s quality metrics, or during cross-validation.")