--- title: Review data health slug: m44f6381 canonical_url: https://docs.coveo.com/en/m44f6381/ collection: coveo-analytics source_format: adoc --- # Review data health The term _data health_ refers to the quality of your [organization](https://docs.coveo.com/en/185/) data, reflecting its integrity and accuracy. The [**Data Health**](https://platform.cloud.coveo.com/admin/#/orgid/usage/health/) ([platform-ca](https://platform-ca.cloud.coveo.com/admin/#/orgid/usage/health/) | [platform-eu](https://platform-eu.cloud.coveo.com/admin/#/orgid/usage/health/) | [platform-au](https://platform-au.cloud.coveo.com/admin/#/orgid/usage/health/)) page in the [Coveo Administration Console](https://docs.coveo.com/en/183/) provides valuable insights on your data health, which is impacted by the performance of each [event](https://docs.coveo.com/en/260/) type. Errors in those event types are detected are based on data validation criteria applied to specific requirements. You can use this page to identify inconsistencies by inspecting how each event impacts your overall data health. ## What is data health? Data health represents the reliability of your [Coveo Analytics](https://docs.coveo.com/en/182/) data, which plays a crucial role in the effectiveness of your search solution. Not only does it let you measure and monitor search activities within your Coveo-powered [search interfaces](https://docs.coveo.com/en/2741/), but it also feeds [Coveo Machine Learning](https://docs.coveo.com/en/188/) features which can continuously improve the user experience. ![Platform workflow | Coveo](https://docs.coveo.com/en/assets/images/coveo-analytics/platform-workflow.png) Any issues in data integrity can therefore hinder the efficiency and relevance of your Coveo solutions. Ensuring that your organization data is healthy ensures that your solutions remain tailored to your needs. > **Leading practices** > > * Consult the **Data Health** page regularly; validation rules are dynamic and may be updated for a variety of reasons, such as evolving compliance requirements, recurring data integrity issues, and more. > > * An important time to verify your data health is when you've implemented changes to your Coveo solution. > Even a minor change can sometimes affect your data, therefore verifying the **Data Health** page should be part of your checklist when making changes. > Implement the changes to your [sandbox organization](https://docs.coveo.com/en/2959#sandbox-organization) first, and then verify your data health to troubleshoot any problems prior to the changes going live. Maintaining Coveo Analytics data accuracy and precision isn't a one-time task, but rather, an ongoing effort which is paramount in ensuring that your Coveo solutions continue to work seamlessly. The **Data Health** page was created specifically for this purpose. It offers you a clear view of everything that's working correctly, and also aspects of your data that may need some further investigation and fine-tuning. The [**Data Health**](https://platform.cloud.coveo.com/admin/#/orgid/usage/health/) ([platform-ca](https://platform-ca.cloud.coveo.com/admin/#/orgid/usage/health/) | [platform-eu](https://platform-eu.cloud.coveo.com/admin/#/orgid/usage/health/) | [platform-au](https://platform-au.cloud.coveo.com/admin/#/orgid/usage/health/)) page includes three tabs: * the [**Overview**](https://docs.coveo.com/en/n3re0517/) * the [**Event errors**](https://docs.coveo.com/en/nbde0312/) * the [**Event browser**](https://docs.coveo.com/en/n3re0108/) ## Required privileges The following table indicates the required [privileges](https://docs.coveo.com/en/228/) to view the [**Data Health**](https://platform.cloud.coveo.com/admin/#/orgid/usage/health/) ([platform-ca](https://platform-ca.cloud.coveo.com/admin/#/orgid/usage/health/) | [platform-eu](https://platform-eu.cloud.coveo.com/admin/#/orgid/usage/health/) | [platform-au](https://platform-au.cloud.coveo.com/admin/#/orgid/usage/health/)) page. [cols="3",options="header"] |=== |Action |Service - Domain |Required access level |View data health |Analytics - Analytics data Analytics - Dimensions Analytics - Data health Organization - Organization |View |===