{"id":1698,"date":"2025-10-08T13:32:10","date_gmt":"2025-10-08T12:32:10","guid":{"rendered":"https:\/\/actuallydata.net\/craft\/?post_type=resource&p=1698"},"modified":"2026-01-12T18:50:12","modified_gmt":"2026-01-12T18:50:12","slug":"data-quality-audit-checklist","status":"publish","type":"resource","link":"https:\/\/actuallydata.net\/craft\/resource\/data-quality-audit-checklist\/","title":{"rendered":"Data Quality Audit Checklist"},"content":{"rendered":"\n
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The Essential Guide to Data Quality Audits<\/em><\/h2>\n\n\n\n

For Charity Data Professionals: Why It Matters and How to Do It Right<\/em><\/p>\n\n\n\n

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Introduction: Why Data Quality Audits Matter for Charities<\/h2>\n\n\n\n

In the nonprofit sector, accurate and reliable data is the backbone of effective fundraising, donor engagement, and service delivery. Yet maintaining high-quality data in your charity\u2019s Customer Relationship Management (CRM) system can often feel like a tedious, thankless task. Data cleansing, validation, and regular audits may not be the most thrilling activities, but their impact on your organization\u2019s success is profound.<\/p>\n\n\n\n

When done well, data quality audits ensure that your CRM data is accurate, complete, consistent, and up-to-date. This means your fundraising campaigns reach the right supporters, your communications are personalized and relevant, and your reporting reflects reality. Ultimately, good data quality helps your entire team\u2014from fundraisers to service coordinators\u2014work more effectively, making their jobs easier and more rewarding.<\/p>\n\n\n\n

This guide will walk you through a practical, six-dimension Data Quality Audit Checklist specifically designed for charities. You\u2019ll learn how to assess your data, fix common issues, and understand why investing effort here benefits everyone.<\/p>\n\n\n\n

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Understanding the Six Dimensions of Data Quality<\/h2>\n\n\n\n

Data quality can be measured across six essential dimensions. Each plays a crucial role in ensuring your CRM data serves your charity\u2019s mission well.<\/p>\n\n\n\n

1. Accuracy<\/h3>\n\n\n\n

Is your data an honest reflection of real-world facts? Accurate data means donor names, contact details, and giving histories are correct and reliable.<\/p>\n\n\n\n

2. Completeness<\/h3>\n\n\n\n

Are all necessary fields filled in? Missing data can lead to lost opportunities, such as donors not being properly thanked or segmented.<\/p>\n\n\n\n

3. Consistency<\/h3>\n\n\n\n

Is data entered in a uniform way across records? Consistent formats and terminology reduce confusion and make data easier to analyse.<\/p>\n\n\n\n

4. Timeliness<\/h3>\n\n\n\n

Is your data current? Outdated information can result in wasted effort reaching people who have moved or changed preferences.<\/p>\n\n\n\n

5. Validity<\/h3>\n\n\n\n

Does your data conform to expected rules and standards? Valid data meets predefined criteria, such as correct email formats or plausible dates.<\/p>\n\n\n\n

6. Uniqueness<\/h3>\n\n\n\n

Is each donor represented by a single record? Duplicate entries lead to inefficiencies and skewed reporting.<\/p>\n\n\n\n

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The Data Quality Audit Checklist: Step-by-Step<\/h2>\n\n\n\n

By systematically reviewing your data through these six lenses, you can identify and correct issues that undermine your charity\u2019s work. Here\u2019s how to approach each area:<\/p>\n\n\n\n

Accuracy<\/h3>\n\n\n\n