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How do you test and validate the data quality and accuracy of your Sitecore content and assets?

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If you use Sitecore to manage your digital content and assets, you know how important it is to ensure their quality and accuracy. Poor data quality can affect your site performance, user experience, SEO, and analytics. To avoid data quality issues, you need to test and validate your content and assets regularly and follow a data quality and governance framework. In this article, we will show you how to do that with some practical tips and tools.

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1 Define your data quality criteria

The first step to test and validate your data quality and accuracy is to define your data quality criteria. These are the standards and rules that you want your content and assets to meet, such as consistency, completeness, correctness, relevance, timeliness, and usability. You can use Sitecore's data quality dashboard to create and monitor your data quality criteria, or use other tools like Data Quality Manager or Data Quality Framework. You should also document your data quality criteria and share them with your content authors, editors, and managers.

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Janardhan kasumuri

2x Salesforce Certified || Admin || Salesforce Account Engagement (PARDOT) || Sitecore, AEM Content Author || Power BI || Digital Marketing || Bigcommerce
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To test and validate the data quality and accuracy of Sitecore content and assets, it’s essential to follow a structured approach. Start by defining clear quality standards for your content, such as accuracy, relevance, and completeness. Regularly audit your content and use Sitecore’s tools to monitor for errors or inconsistencies. Implement automated testing to catch issues that might be missed during manual checks, and gather feedback from users to identify any content problems. Additionally, maintaining version control helps track changes and ensure updates are documented. This comprehensive approach ensures that your Sitecore content remains accurate and of high quality

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Martin Miles

Sitecore MVP (2017-2025, 9 times). Certified developer with Sitecore XM Cloud, XM/XP 10, Sitecore Commerce, Content Hub, CDP, OrderCloud
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Use this framework to achieve data quality assurance: Establish clear guidelines to ensure consistency and accuracy. For content, create rules for formatting, metadata usage, and SEO optimization. Set standards for language, tone, and style to maintain brand voice. For assets, define accepted formats, resolutions, and naming conventions, ensuring they align with the platform's requirements. Document these standards and share them with all content creators, editors, and media teams. Regularly review and update these guidelines to adapt to changing needs and technologies, ensuring long-term content quality and relevance.

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2 Implement data quality checks

The next step is to implement data quality checks throughout your content and asset lifecycle. This means that you should check your data quality at different stages, such as creation, editing, publishing, and updating. You can use Sitecore's validation rules, workflows, and approval processes to enforce data quality checks and prevent errors and inconsistencies. You can also use Sitecore's content testing and personalization features to optimize your data quality and accuracy for different audiences and scenarios.

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Martin Miles

Sitecore MVP (2017-2025, 9 times). Certified developer with Sitecore XM Cloud, XM/XP 10, Sitecore Commerce, Content Hub, CDP, OrderCloud
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To implement data quality checks in Sitecore, start by defining key metrics: accuracy, completeness, consistency, and validity. Use Sitecore's built-in validation rules to enforce these metrics during data entry, ensuring correct formats and required fields are filled. Implement custom Sitecore PowerShell scripts for automated checks like missing metadata or broken links. Establish workflows that include multiple stakeholders for content review and approval, enhancing manual oversight. Finally, monitor data quality through regular audits and reports, and continuously refine processes based on feedback and performance data.

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3 Use data quality tools and reports

Another step to test and validate your data quality and accuracy is to use data quality tools and reports that can help you identify and fix data quality issues. For example, you can use Sitecore's Experience Editor to preview and edit your content and assets in context, or use Sitecore's Media Library to manage and optimize your images, videos, and documents. You can also use Sitecore's Experience Analytics and Experience Platform to measure and analyze your data quality and accuracy in terms of engagement, conversions, and performance.

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4 Review and improve your data quality

The final step to test and validate your data quality and accuracy is to review and improve your data quality on a regular basis. This means that you should audit your content and assets periodically and compare them with your data quality criteria and goals. You should also collect feedback from your users, stakeholders, and partners on your data quality and accuracy, and use it to make improvements and adjustments. You should also update your data quality criteria and checks as your business needs and expectations change.

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5 Here’s what else to consider

This is a space to share examples, stories, or insights that don’t fit into any of the previous sections. What else would you like to add?

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How do you test and validate the data quality and accuracy of your Sitecore content and assets?

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1 Define your data quality criteria

2 Implement data quality checks

3 Use data quality tools and reports

4 Review and improve your data quality

5 Here’s what else to consider

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