---
schema_version: "1"
id: 21346dd56aa3ab8b33f000e854a39947eff1dc9f97e579c02093e5b36c4deb4c
title: Handle Numeric Values
collection: admin
version: current
locale: en-us
portal_url: https://docs.salesforce.com/admin/current/en-us/analytics/264-0-0/bi_numeric_values.md
canonical_url: https://help.salesforce.com/s/articleView?id=analytics.bi_numeric_values.htm&release=264.0.0&type=5
source_site: help.salesforce.com
content_type: documentation
content_hash: 3c71d641225dabbaa7c064579cfc7d9f1296038ce721865b9cbe9bd70ee5caff
description: CRM Analytics internally stores numeric values in datasets as long values. For example, CRM Analytics stores the number 3,200.99 with a scale of 2 as 320099. The user interface converts the stored value back to decimal notation to display the number as 3200.99.
products:
  - CRM Analytics
  - Cross Cloud
release: "264"
---
# Handle Numeric Values

CRM Analytics internally stores numeric values in datasets as long values. For example, CRM Analytics stores the number 3,200.99 with a scale of 2 as 320099. The user interface converts the stored value back to decimal notation to display the number as 3200.99.

- **[Range Limits for Numeric Values](https://help.salesforce.com/s/articleView?id=analytics.bi_integrate_dataset_numeric_values_limits.htm&release=264.0.0&type=5)**  
    The maximum numeric value that can be stored in a dataset is 576,460,752,303,423,488 and the minimum numeric value is -576,460,752,303,423,488.
- **[Considerations for Numeric Values](https://help.salesforce.com/s/articleView?id=analytics.bi_integrate_dataset_numeric_values_considerations.htm&release=264.0.0&type=5)**  
    Confirm that numeric values in a column are uniform in granularity and units. Inconsistencies can occur within a data source and after merging data from multiple data sources.
- **[Handle Null Numeric Values](https://help.salesforce.com/s/articleView?id=analytics.bi_integrate_null_measures.htm&release=264.0.0&type=5)**  
    When you create or update a dataset through your dataflow, recipe, or a CSV upload, for example, CRM Analytics replaces blank numeric values with the specified default value. When no default value is specified, CRM Analytics replaces blanks in numeric columns with 0 or null based on whether you enable null measure handling.