--- title: Data Quality Navigator Reviews meta_title: 'Data Quality Navigator Reviews 2026: Details, Pricing, & Features | G2' meta_description: Filter 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: 4.5 review_count: 8 scale: '5' date_modified: '2026-06-22' 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:** 4.5/5.0 **Total Reviews:** 8 ## 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) → Data Migration (Prepare, map, and validate data for target systems) → Data Governance (Ensure ownership, control, and sustainable quality) ## Data Quality Navigator Reviews ### 1. 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. ### 2. 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. ### 3. 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%. ### 4. 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 ### 5. 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 ### 6. 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. ### 7. 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. ### 8. 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=2026-06-29+15%3A40%3A54+-0500&secure%5Bsession_id%5D=08b6a664-e3cc-4eb3-a8d3-e12eabf4e554&secure%5Btoken%5D=511acbcf9fff311da31060220581eda3ea86b85df7dd577dc80ab40a5b4992c2&format=llm_user) ## 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 (758 reviews) - [Demandbase One](https://www.g2.com/products/demandbase-one/reviews) - 4.4/5.0 (1,941 reviews) - [Databricks](https://www.g2.com/products/databricks/reviews) - 4.6/5.0 (1,284 reviews)