---
sourceDocument: Brazil Enable AI
sourceDocumentLink: https://www.servicenow.com/docs/r/intelligent-experiences

 Release :

    - brazil

ft:locale :

    - en-US

ft:publication_title :

    - Brazil Enable AI

ft:clusterId :

    - platai

bundleId :

    - platai

workflow :

    - Platform


---

# View data insights

# View data insights {#ariaid-title1}

Release version: Brazil  
Updated October 19, 2026  
![](https://www.servicenow.com/docs/portal-asset/ico-clock) 1 minute to read  
View data insights to check a dataset for sensitive data or to find data quality issues in a data collection before you use it for evaluation.

## Before you begin

Role required: sn_data_kit.admin or
sn_data_kit.analyst

## About this task

Datasets and data collections each have a Data insights tab, but the tab shows different information for each.

## Procedure

1. Navigate to AllAI Data KitHome.
2. In the An overview of your data assets section, select a dataset on the Datasets tab or a collection on the Data collections tab.
3. Select the Data insights tab.  
   {#view-data-insights__table_vdi_insights__entry__3}

   | Opened from | Insight | Description |
   |-|-|-|
   | Dataset | Data scanning | Number of records found to contain sensitive data. For details, see [Find and cleanse sensitive data](https://www.servicenow.com/docs/qtH_BYLZAsGRafo7yaXM5A "Scan a dataset for personally identifiable information (PII) and other sensitive data, and cleanse the records that the scan finds."). |
   | Dataset | Data cleansing | Number of records that have been cleansed. |
   | Data collection | Data volume | Records with an unusually low character count, or significantly fewer words than the collection average. The records are listed. |
   | Data collection | Missing/empty values | Fields that are null, empty, or contain placeholder values. If none are found, the section shows No issues detected. |
   [Table 1. Data insights]

   {#view-data-insights__table_vdi_insights}

## What to do next

If a collection has records with low data volume or missing values, review those records in the datasets that the collection uses. To work with a smaller set of good records, [create a derived dataset](https://www.servicenow.com/docs/RzgYdXt7cK4IZriEAsSycg "Create a smaller dataset from an existing dataset by selecting records manually or by random sampling.").

*[\>]: and then