Data Quality Navigator Testimonials

    Verified User in Manufacturing
    EM
    Verified User in Manufacturing
    Verified User in Manufacturing

    Flexible Low-Code Configuration with Seamless SAP-to-IFS Migration

    07/07/2026
    "The low-code/no-code configurability and overall flexibility make it easy to adapt the solution, and it simplifies the process of migrating from SAP to the IFS system."

    Markus M.
    MM
    Markus M.
    Accounts Payable clerk - Chemicals

    Quick to Learn with Genuinely Helpful Onboarding Support

    07/02/2026
    "Great user experience overall. It was very quick to learn, and the onboarding support was genuinely helpful."
    Verified User
    G
    Verified User
    Verified User

    Customizable, Responsive, and Time-Reducing

    06/12/2026
    "I like the ability to customize the tool according to our needs, such as integrating new feeds and creating import templates to use in other systems. The implementation of IN/OUT integration is also very useful. Moreover, the Data Quality Navigator team is very responsive in initiating developments or resolving incidents, which demonstrates their seriousness since 2023."

    Verified User in Chemicals
    CC
    Verified User in Chemicals
    Verified User in Chemicals

    Intuitive Data Quality Navigator with Flexible Automation and Clear Dashboards

    07/03/2026
    "Data Quality Navigator makes it easy to identify and improve data quality issues across large datasets. The user interface is intuitive, allowing business users to get started quickly without extensive training. I particularly appreciate the flexibility to define and automate quality checks, which significantly reduces manual effort and increases confidence in our data. The onboarding..."

    Verified User in Apparel & Fashion
    AA
    Verified User in Apparel & Fashion
    Verified User in Apparel & Fashion

    Strong data quality governance platform for large organizations

    06/12/2026
    "DQN stands out for its robust approach to data governance and quality management. The rule framework, automated checks, and monitoring capabilities help ensure consistent and reliable data across complex organizations. It is particularly effective for large-scale data collection, enabling teams to standardize inputs, track performance over time, and gain clear visibility through structured..."
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