Data QualityQuestion 06 of 7

# Data Integrity vs. Data Quality: Are they the same?

tpTrackingplan answers

[**Data integrity**](/blog/what-is-data-integrity) is a broad discipline that governs the entire data lifecycle - ** from how it is collected, to how it is stored, accessed, and used.**

Data integrity is maintained by a set of processes, rules, and standards with the objective to preserve the overall accuracy and data security in regard to [**regulatory compliance frameworks**](https://www.threatintelligence.com/blog/compliance-frameworks) —such as the General Data Protection Regulation ([** GDPR**](https://gdpr-info.eu/) [)](https://www.talend.com/solutions/data-protection-gdpr-compliance/) or the ([** CCPA**](https://oag.ca.gov/privacy/ccpa)) and ensure that data remains accurate, consistent, and unaltered.

However, despite its similiarities, [**data integrity**](/blog/what-is-data-integrity) ** should not be confused with** [** data quality**](/blog/how-to-measure-data-quality)**.**

Of course, data quality is a crucial part of data integrity. Yet, **data integrity encompasses every aspect of data quality and goes further by implementing a set of rules and processes that govern how data is entered, stored, and transferred.**

In this sense, while data quality is a good starting point and both data quality and data integrity are crucial when taking data-driven decisions, data integrity elevates data’s level of usefulness to an organization and ultimately drives better business decisions by encompassing its whole life cycle.

![](/images/6932b88e1b2e4fe2611f4773_64d5fd2c4a8399350eeba66c_Copia-de-Data-Quality-1024-500-px-520-320-px-2.avif)

Learn more about [**data integrity**](/blog/what-is-data-integrity) in this blog post.

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Filed under [Data Quality](/categories-faqs/data-quality) · [all questions](/faqs)

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