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Data Integrity Tricentis

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Data Integrity
Developer(s)Tricentis
Engine
    Operating systemCross-platform
    TypeData integrity testing software
    LicenseProprietary
    Websitehttps://www.tricentis.com/products/data-integrity

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    Data Integrity is a proprietary software testing solution designed to validate the accuracy, consistency, and reliability of data across enterprise software systems. It is commonly used in regulated industries to support data integrity requirements, data validation, and compliance-related testing across the software development lifecycle. The software is developed by Tricentis.[1]

    History

    Data integrity testing emerged as a response to increasing regulatory scrutiny around electronic records and data accuracy in enterprise systems. Tools in this category are commonly used to support compliance with regulations such as FDA guidance on data integrity and validation practices.[2][not in citation given]

    Data Integrity became part of the Tricentis product portfolio as a solution focused on automated data validation and integrity testing across complex enterprise environments.[1]

    Overview

    Data Integrity is used to compare, validate, and monitor data across multiple systems to identify inconsistencies, missing records, and integrity violations. Such testing practices are widely applied in enterprise environments where data accuracy is critical to regulatory compliance and operational decision-making.[3][not in citation given]

    The tool supports automated testing of large data sets and is often used alongside other quality assurance and test automation tools to support risk-based testing approaches.[4]

    Use cases

    Common use cases for Data Integrity include data migration validation, reconciliation of data across systems, and verification of data accuracy during system upgrades or integrations. These practices are frequently applied in industries such as the pharmaceutical industry, life sciences, and financial services, where data errors may affect compliance or reporting obligations.[5][not in citation given]

    See also

    References

    1. 1.0 1.1 "Tricentis Data Integrity". Tricentis. Retrieved December 30, 2025.
    2. "Data Integrity and Compliance With Drug CGMP". U.S. Food and Drug Administration. Retrieved December 30, 2025.
    3. "Ensuring data integrity in regulated environments". Pharmaceutical Online. Retrieved December 30, 2025.
    4. "GAMP 5: A Risk-Based Approach to Compliant GxP Computerized Systems". International Society for Pharmaceutical Engineering. Retrieved December 30, 2025.
    5. "Best Practices for Data Integrity and Validation in Regulated Industries". Gartner. Retrieved December 30, 2025.


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