---
schema_version: "1"
id: 89859b1cd0122032626530fdb998917db39fa84c5cee3d1d9c16e4908e0c019a
title: Recommended Buckets 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_buckets.md
canonical_url: https://help.salesforce.com/s/articleView?id=analytics.bi_edd_data_alert_buckets.htm&release=264.0.0&type=5
source_site: help.salesforce.com
content_type: documentation
content_hash: b16844fe454b9bca5a4dc860cd2ab9fe69cbea4852eea604e4fc9334ca0db075
description: Indicates that, for a numerical value, Einstein Discovery devised an alternative set of buckets (grouping of data points based on ranges).
products:
  - CRM Analytics
  - Cross Cloud
release: "264"
---
# Recommended Buckets Alert

Indicates that, for a numerical value, Einstein Discovery devised an alternative set of buckets (grouping of data points based on ranges).

![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

Bucketing is key to making your insights interpretable. Try using the recommended buckets in your model to see whether they improve the interpretability of your insights.

## Detection Methodology

Einstein Discovery uses Kernel Clustering Density, an unsupervised machine learning algorithm, to analyze numerical data. The alert indicates that the clustering algorithm determined an alternate set of bucket ranges (not the default bucketing by decile or quartile).

#### 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.")