--- title: Data Quality Navigator Reviews meta_title: 'Data Quality Navigator Reviews 2026: Details, Pricing, & Features | G2' meta_description: Filter 23 reviews by the users' company size, role or industry to find out how Data Quality Navigator works for a business like yours. aggregate_rating: rating_value: 4.6 review_count: 23 scale: '5' date_modified: '2026-07-14' parent_category: name: IT Infrastructure url: https://www.g2.com/categories/it-infrastructure --- # Data Quality Navigator Reviews **Vendor:** BearingPoint **Category:** [Data Quality Tools](https://www.g2.com/categories/data-quality) **Average Rating:** 4.6/5.0 **Total Reviews:** 23 ## About Data Quality Navigator Data Quality Navigator (DQN) is a business-driven, end-to-end data quality platform that enables organizations to understand, improve, and continuously manage data quality in a measurable and scalable way. It moves data quality away from purely technical responsibility and enables business users to take ownership working with intuitive processes that reflect real operational needs. DQN comes with 2,500+ pre-built rules based on real business issues, so organizations don’t have to start from scratch. Instead, they can focus directly on the most critical problems and see measurable improvements within weeks. This fast, impact-focused approach helps stabilize operations early, avoid risks such as failed migrations or production delays, and build continuous improvement over time. Key Functionalities → Data Integration (Seamlessly connect and synchronize data across systems) → Data Profiling & Assessment (Understand data quality and structure) → Data Validation (Choose from over 2,500 predefined validation rules or create your own) → Data Harmonization & Deduplication (Create unified and consistent records) → Data Cleansing (Resolve errors and improve data reliability) → Data Enrichment (Enhance data with additional business context) → Automated Data Quality (Use AI-powered agents to identify, cleanse, enrich, harmonize, and optimize data at scale) → Data Migration (Prepare, map, and validate data for target systems) → Data Governance (Ensure ownership, control, and sustainable quality) ## Data Quality Navigator Reviews ### 1. Powerful Data Quality Cockpit with Fast Implementation and Strong Integrations **Rating:** 4.5/5.0 stars **Reviewed by:** Yann S. | Manager dans l'équipe Opérations, Enterprise (> 1000 emp.) **Reviewed Date:** July 09, 2026 **What do you like best about Data Quality Navigator?** Data is key (quality, consistency, completeness) and even more today if we want to leverage AI capabilities. Data Quality Navigator provides tools to support data cleansing and enrichment before a new ERP implementation project, then offers a comprehensive cockpit to track quality over time in business as usual, and identify deviations to put in place corrective actions and streamline processes. Leveraging integrations with ISO platforms (e.g. DUNs) and some AI checks are a big plus. Implementation is quick. **What do you dislike about Data Quality Navigator?** Not really something to dislike but as a potential improvement point if this is relevant, probably adding an MDM capability would prove beneficial **What problems is Data Quality Navigator solving and how is that benefiting you?** Definitely accelerates data deduplication, enrichment and cleansing prior to an implementation from legacy system(s) - and helps monotiring and managing data quality in business as usual thus setting-up the frame for AI au automation to deliver expected outcomes ### 2. Improve data quality and save manual inspection time **Rating:** 4.0/5.0 stars **Reviewed by:** mohamed h. | Data Analyst, Enterprise (> 1000 emp.) **Reviewed Date:** May 20, 2026 **What do you like best about Data Quality Navigator?** What I like the most is the smooth user interface and the ability to automate data quality check rules. Once the inspection conditions are set, the program cleans the data and identifies errors automatically without continuous manual intervention. Also, the instant reporting feature that shows the percentage of data accuracy and purity gives me complete confidence in the data before moving on to the analysis stage. **What do you dislike about Data Quality Navigator?** Despite the efficiency of the tool, I find that it consumes a significant amount of memory and RAM resources when processing very large data files, which causes noticeable slowdowns at times. Also, I hope for improved flexibility in customizing some complex inspection rules to make them easier to set up without the need to write advanced code, in addition to providing more educational documentation for advanced features. **What problems is Data Quality Navigator solving and how is that benefiting you?** I use Data Quality Navigator to inspect and audit data to ensure it is error-free, and I benefit from automating the inspection to save time and effort. It solves the problem of recurring errors in data manually and report discrepancies, ensuring the accuracy of performance indicators. ### 3. User-Friendly Data Cleansing Platform with Helpful Out-of-the-Box Rules **Rating:** 5.0/5.0 stars **Reviewed by:** Verified User in Manufacturing | Enterprise (> 1000 emp.) **Reviewed Date:** July 09, 2026 **What do you like best about Data Quality Navigator?** The data-cleansing logic and the user interface for addressing any potential issues are easy to use and genuinely user-friendly. **What do you dislike about Data Quality Navigator?** With any product, it takes some initial work at the start of the project to clearly defined the data cleansing logic and rules to make the tool succssful. However, the DQN tool comes with standard 'out of the box' rules to make this process as smooth as possible to quickly jumpstart your data cleansing journey. **What problems is Data Quality Navigator solving and how is that benefiting you?** Data integrity and accurateness is a problem that we and many other companies face. DQN provides rule-based, and AI based, intelligence that helps us focus on what really matters with regards to data cleansing and data management. ### 4. Reliable interface verification, improvable in part number recognition **Rating:** 5.0/5.0 stars **Reviewed by:** Pavo B. | Mid-Market (51-1000 emp.) **Reviewed Date:** July 08, 2026 **What do you like best about Data Quality Navigator?** I like that with Data Quality Navigator nothing gets lost. I especially appreciate the traffic light rules, which allow for action if necessary. The diagrams for executives are also useful and provide a current status. **What do you dislike about Data Quality Navigator?** The recognition of item numbers could be improved. Currently, Data Quality Navigator only recognizes item numbers in a specific format, such as 81222229999, but not if they contain dots or dashes, like 81.22222-9999. When I copy item numbers from SAP and search in Data Quality Navigator, I have to manually remove these dots and dashes for the search to be successful. **What problems is Data Quality Navigator solving and how is that benefiting you?** I use Data Quality Navigator for the correct transfer to other interfaces and to comply with rules, nothing is lost. ### 5. Intuitive Data Quality Navigator with Flexible Automation and Clear Dashboards **Rating:** 5.0/5.0 stars **Reviewed by:** Verified User in Chemicals | Small-Business (50 or fewer emp.) **Reviewed Date:** July 03, 2026 **What do you like best about Data Quality Navigator?** 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 process was smooth, and the support team has been very responsive whenever we had questions or new requirements. The dashboards provide clear visibility into data quality metrics, helping us monitor progress and quickly identify areas that need attention. **What do you dislike about Data Quality Navigator?** One aspect I found less convenient was that data uploads were primarily handled in delayed batches. This made it more difficult to immediately identify and track data quality improvements or deteriorations, as changes only became visible after the next upload cycle. Near real-time updates or more frequent synchronization options would provide greater transparency and make it easier to monitor data quality trends and react more quickly to issues. **What problems is Data Quality Navigator solving and how is that benefiting you?** Data Quality Navigator can help automate data validation processes and identify data quality issues earlier before they impact reporting or operational activities. This can reduce manual review efforts, improve data consistency, and increase confidence in business-critical data. In addition, the solution can support stronger data governance by showing greater transparency into data quality metrics and trends across the organization. ### 6. Strong data quality governance platform for large organizations **Rating:** 4.5/5.0 stars **Reviewed by:** Verified User in Apparel & Fashion | Enterprise (> 1000 emp.) **Reviewed Date:** June 12, 2026 **What do you like best about Data Quality Navigator?** 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 dashboards and KPIs. **What do you dislike about Data Quality Navigator?** Some areas could be further optimized, especially in terms of user experience and flexibility. Certain features such as filtering, data extraction, and data editing could be more intuitive and streamlined to improve efficiency. Enhancements in performance during heavy usage and additional flexibility in dashboards and permissions would further strengthen the overall user experience. **What problems is Data Quality Navigator solving and how is that benefiting you?** Data Quality Navigator helps us standardize, validate, and control large volumes of data from multiple contributors, ensuring consistency and reliability across our reporting processes. By automating data checks and providing clear visibility on data quality, it significantly reduces manual corrections, improves data accuracy, and strengthens overall governance. This ultimately enables more efficient data collection workflows and more robust, audit-ready outputs. ### 7. Migration Readiness Made Measurable with a Fact-Based Dashboard **Rating:** 5.0/5.0 stars **Reviewed by:** Verified User in Automotive | Enterprise (> 1000 emp.) **Reviewed Date:** July 08, 2026 **What do you like best about Data Quality Navigator?** DQN essentially makes migration readiness measurable. Instead of relying on status calls and gut feeling, you get a fact-based dashboard showing red, yellow and green areas per data domain, which honestly changes how steering discussions run. **What do you dislike about Data Quality Navigator?** Not every stakeholder enjoys seeing red areas on the dashboard, so you occasionally need to invest energy explaining that early visibility is a feature, not a problem. **What problems is Data Quality Navigator solving and how is that benefiting you?** It reduces migration uncertainty, keeps program timelines realistic, and gives data owners a clear picture of what still needs cleaning before the next load window. **Official Response from Nora Walkembach:** > It's great to hear that DQN helps bring more transparency and objectivity to migration. Indeed, identifying issues early is ultimately an advantage, even if it can create challenging discussions at times. We hope that over time every stakeholder sees the impact of addressing data quality early in the process to ensure smoother migrations. Thank you for sharing your experience with DQN! ### 8. Built-In Rules Quickly Improved Our Customer Data Quality **Rating:** 4.0/5.0 stars **Reviewed by:** Verified User in Marketing and Advertising | Small-Business (50 or fewer emp.) **Reviewed Date:** July 06, 2026 **What do you like best about Data Quality Navigator?** DQN helps to improve customer data quality without having to build everything ourselves. The built-in rules and best practices helped us identify duplicate customer records, incomplete information, and inconsistencies very quickly. We started seeing useful insights early on and could focus on fixing issues rather than finding them. **What do you dislike about Data Quality Navigator?** Data quality improvements still require business involvement and decisions, especially when dealing with duplicate or conflicting customer records. DQN provides the structure and transparency, but some decisions cannot be fully automated. **What problems is Data Quality Navigator solving and how is that benefiting you?** Identifying duplicate customers, improve data consistency, and increase trust in our customer data. This has improved reporting quality and made it easier for sales, marketing, and customer-facing teams to work with reliable information. ### 9. Customizable, Responsive, and Time-Reducing **Rating:** 4.5/5.0 stars **Reviewed by:** Verified User | Small-Business (50 or fewer emp.) **Reviewed Date:** June 12, 2026 **What do you like best about Data Quality Navigator?** 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. **What do you dislike about Data Quality Navigator?** Add AI advantages to the solution in order to correct the imported data even more simply and automatically. **What problems is Data Quality Navigator solving and how is that benefiting you?** With Data Quality Navigator, we standardize ESG data, automate through rules, control the reliability and completeness of the data. It facilitates interaction between contributors and teams, and allows for data comparison, thus reducing collection time by 25%. ### 10. Quick to Learn with Genuinely Helpful Onboarding Support **Rating:** 4.5/5.0 stars **Reviewed by:** Markus M. | Accounts Payable clerk, Small-Business (50 or fewer emp.) **Reviewed Date:** July 02, 2026 **What do you like best about Data Quality Navigator?** Great user experience overall. It was very quick to learn, and the onboarding support was genuinely helpful. **What do you dislike about Data Quality Navigator?** We have some very complex quality checks in our existing systems. Some of these checks couldn’t be transferred, but a lot of it is on the roadmap. **What problems is Data Quality Navigator solving and how is that benefiting you?** Building quality rules, document quality rules, build governance and transparency for our data. Great performance in building these quality rules and dashboards ### 11. Automates the tedious parts of data quality validation **Rating:** 5.0/5.0 stars **Reviewed by:** Paulo Henrique O. | Data Engineer, Small-Business (50 or fewer emp.) **Reviewed Date:** May 19, 2026 **What do you like best about Data Quality Navigator?** What I love most is how easily it automates our data validation rules. Before using it, we spent way too much time manually checking for discrepancies and catching errors after they already hit our reports **What do you dislike about Data Quality Navigator?** It takes a lot of fine-tuning to get the alerting system just right **What problems is Data Quality Navigator solving and how is that benefiting you?** The main problem it solves for us is the sheer amount of manual effort required to monitor data health. We used to write a lot of custom, repetitive SQL scripts to validate our tables, which was impossible to scale ### 12. Transparent, user-friendly view of data quality issues **Rating:** 5.0/5.0 stars **Reviewed by:** Johanna S. | Intern, Small-Business (50 or fewer emp.) **Reviewed Date:** July 10, 2026 **What do you like best about Data Quality Navigator?** Transparent and user-friendly presentation of data quality issues, enabling quick identification of weaknesses and thus sustainably improving data quality. **What do you dislike about Data Quality Navigator?** Sometimes it takes a while to find the desired information if you don't use the tool regularly. **What problems is Data Quality Navigator solving and how is that benefiting you?** Data Quality Navigator helps me quickly identify and specifically address data quality issues. This saves me time and allows me to rely on reliable data. **Official Response from Nora Walkembach:** > Thank you for your feedback! We're glad to hear that DQN helps make data quality issues more transparent and easier to address. We also appreciate your comment on usability. If there are specific workflows that feel less intuitive, please reach out to DQN support. Feedback like this is always helpful in showing us where we can further improve. ### 13. Flexible Low-Code Configuration with Seamless SAP-to-IFS Migration **Rating:** 5.0/5.0 stars **Reviewed by:** Verified User in Manufacturing | Mid-Market (51-1000 emp.) **Reviewed Date:** July 07, 2026 **What do you like best about Data Quality Navigator?** 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. **What do you dislike about Data Quality Navigator?** Nothing to complain about, because whenever I run into a problem, there’s a great team ready to support me and fix it. **What problems is Data Quality Navigator solving and how is that benefiting you?** It makes data migration more solid, error-proof, and auditable. ### 14. Rule Catalog Is a Lifesaver—Quick Start with Proven Checks **Rating:** 4.5/5.0 stars **Reviewed by:** Verified User in Government Administration | Enterprise (> 1000 emp.) **Reviewed Date:** July 13, 2026 **What do you like best about Data Quality Navigator?** The rule catalog is a lifesaver. We could start with proven checks instead of sitting in workshops forever inventing rules. **What do you dislike about Data Quality Navigator?** Some rules still needed tuning to our process wording, but that was expected. **What problems is Data Quality Navigator solving and how is that benefiting you?** It helped us move from random Excel checks to a more repeatable data governance process. ### 15. Easy to use and relevant for data cleansing **Rating:** 4.5/5.0 stars **Reviewed by:** fahd R. | ENV Manager, Enterprise (> 1000 emp.) **Reviewed Date:** June 11, 2026 **What do you like best about Data Quality Navigator?** Easy to use and relevant in terms of data cleansing **What do you dislike about Data Quality Navigator?** very fragmented, need to be more straight to the point in certain steps **What problems is Data Quality Navigator solving and how is that benefiting you?** data cleansing ### 16. Automated supplier data validation saves a tremendous amount of time **Rating:** 5.0/5.0 stars **Reviewed by:** Verified User in Consulting | Enterprise (> 1000 emp.) **Reviewed Date:** July 07, 2026 **What do you like best about Data Quality Navigator?** The automation of supplier data validation and correction saves a lot of repetitive work. **What do you dislike about Data Quality Navigator?** It takes some effort to align all teams on how to use it. **What problems is Data Quality Navigator solving and how is that benefiting you?** It reduces manual validation and keeps supplier data consistent. ### 17. Fantastic Web Experience with Strong Industry Expertise **Rating:** 4.5/5.0 stars **Reviewed by:** Verified User in Manufacturing | Mid-Market (51-1000 emp.) **Reviewed Date:** July 04, 2026 **What do you like best about Data Quality Navigator?** The best thing about DQN is the industry domain-specific expertise embedded in it. By improving data quality, you can also uncover blind spots and identify the checkpoints required in your process. **What do you dislike about Data Quality Navigator?** I sometimes wish there were a mobile app for it. That said, the web experience is fantastic. **What problems is Data Quality Navigator solving and how is that benefiting you?** The biggest benefit I’ve seen from DQN is during merger and integration work. It naturally helped me harmonize the data and align how the two entities operate. ### 18. General Data Quality & Governance **Rating:** 5.0/5.0 stars **Reviewed by:** Verified User in Manufacturing | Enterprise (> 1000 emp.) **Reviewed Date:** July 10, 2026 **What do you like best about Data Quality Navigator?** AI correction suggestions save hours on the boring cleanup work. **What do you dislike about Data Quality Navigator?** Would not blindly automate everything, some fields still need business judgment. **What problems is Data Quality Navigator solving and how is that benefiting you?** Recurring issues get fixed faster and with way less manual review. **Official Response from Nora Walkembach:** > It's great to hear that the AI-supported corrections are helping reduce manual effort. While many issues can be automated with confidence, we believe it's often best to keep experts involved when changes affect business-critical or high-risk data. If there are areas where you feel additional automation would make sense, we'd encourage you to reach out to your project team or the DQN support team. Thank you for sharing your experience! ### 19. DQN Centralizes Governance with Unified Rules, Workflows, and Monitoring **Rating:** 5.0/5.0 stars **Reviewed by:** Verified User in Apparel & Fashion | Enterprise (> 1000 emp.) **Reviewed Date:** July 13, 2026 **What do you like best about Data Quality Navigator?** DQN brings rules, workflows and monitoring into one place, which finally makes governance feel complete rather than scattered across three or four tools. **What do you dislike about Data Quality Navigator?** Nothing dramatic honestly, but onboarding really should be planned properly so people don't try to activate everything at once. **What problems is Data Quality Navigator solving and how is that benefiting you?** We now have one operational place to understand data quality, improve it and keep it under control over time. ### 20. Targeted evaluations – make large amounts of data quickly and efficiently usable **Rating:** 4.0/5.0 stars **Reviewed by:** Verified User in Transportation/Trucking/Railroad | Mid-Market (51-1000 emp.) **Reviewed Date:** June 15, 2026 **What do you like best about Data Quality Navigator?** Targeted evaluations, large amounts of data quickly and efficiently usable. **What do you dislike about Data Quality Navigator?** everything helpful. of course, only as good as the quality of data provided from external systems **What problems is Data Quality Navigator solving and how is that benefiting you?** Before Data Quality Navigator, SAP evaluations were only possible in a very cumbersome way through Excel. ### 21. Clear Data Accuracy Visibility That Simplifies Validation **Rating:** 4.5/5.0 stars **Reviewed by:** Mohamed H. | Workforce Development Specialist, Telecommunications, Enterprise (> 1000 emp.) **Reviewed Date:** May 21, 2026 **What do you like best about Data Quality Navigator?** The visibility it provides into data accuracy and reporting consistency helps simplify the data validation process. **What do you dislike about Data Quality Navigator?** It needs improved advanced report flexibility, along with more options for customizing layouts. **What problems is Data Quality Navigator solving and how is that benefiting you?** It helps solve issues related to inconsistent reporting and reduces the need for manual data validation. ### 22. Intuitive operation and quick implementation of requirements **Rating:** 4.5/5.0 stars **Reviewed by:** Matthias R. | Fachreferent für Planung, Enterprise (> 1000 emp.) **Reviewed Date:** June 30, 2026 **What do you like best about Data Quality Navigator?** Easy operation. Quick implementation of requirements. **What do you dislike about Data Quality Navigator?** A certain amount of familiarization is necessary to navigate. **What problems is Data Quality Navigator solving and how is that benefiting you?** Data quality issues regarding part number requirements and purchased procurement capacities ### 23. Quick onboarding and stable application **Rating:** 5.0/5.0 stars **Reviewed by:** Verified User in Automotive | Mid-Market (51-1000 emp.) **Reviewed Date:** June 18, 2026 **What do you like best about Data Quality Navigator?** Familiarization is quickly possible, application runs stably **What do you dislike about Data Quality Navigator?** So far, no defects have been detected. **What problems is Data Quality Navigator solving and how is that benefiting you?** It helps to ensure or improve master data quality. - [View Data Quality Navigator pricing details and edition comparison](https://www.g2.com/products/data-quality-navigator/reviews?section=pricing&secure%5Bexpires_at%5D=2026-07-15+20%3A04%3A15+-0500&secure%5Bsession_id%5D=18ac4c1d-3927-41bf-8021-7c68be526215&secure%5Btoken%5D=723913557a7277e3d68214b6a4da173b513bfaab9b2096c717e835821abf5533&format=llm_user) ## Data Quality Navigator Integrations - [IFS Cloud](https://www.g2.com/products/ifs-cloud/reviews) - [SAP Cloud ERP (SAP S/4HANA Cloud)](https://www.g2.com/products/sap-cloud-erp-sap-s-4hana-cloud/reviews) - [SAP ECC](https://www.g2.com/products/sap-ecc/reviews) ## Data Quality Navigator Features **Administration** - Data Modelling - Recommendations - Workflow Management - Dashboards and Visualizations **Management** - Business Glossary - Data Discovery - Data Profililng - Reporting and Visualization - Data Lineage **Operating System** - PC Operating System - Mac Operating System - Linux Operating System **Document Processing** - File Type - Data Extraction - Mobile Capability - Intelligent Processing - Image Enhancement **Compliance** - Sensitive Data Compliance - Training and Guidelines - Policy Enforcement - Compliance Monitoring **Security** - Access Control - Roles Management - Compliance Management **Platform Additional Functionality** - Integration - Windows and Mac **Data Quality** - Data Preparation - Data Distribution - Data Unification **Maintainence** - Data Quality Management - Policy Management **Agentic AI - OCR** - Autonomous Task Execution **Functionality** - Identification - Correction - Normalization - Preventative Cleaning - Data Matching **Generative AI** - AI Text Generation - AI Text Summarization **Management** - Reporting - Automation - Quality Audits - Dashboard - Governance **Agentic AI - Data Governance** - Autonomous Task Execution - Multi-step Planning - Cross-system Integration - Adaptive Learning - Natural Language Interaction - Decision Making **Generative AI** - AI Text Generation - AI Text Summarization ## Top Data Quality Navigator Alternatives - [SAS Viya](https://www.g2.com/products/sas-sas-viya/reviews) - 4.3/5.0 (767 reviews) - [GTM Studio - Powered by ZoomInfo](https://www.g2.com/products/gtm-studio-powered-by-zoominfo/reviews) - 4.5/5.0 (3,395 reviews) - [Demandbase One](https://www.g2.com/products/demandbase-one/reviews) - 4.4/5.0 (1,942 reviews)