---
title: "Data Quality Navigator Software Pricing, Alternatives & More 2026 | Capterra"
description: "With the help of Capterra, learn about Data Quality Navigator Software - reviews, pricing plans, popular comparisons to other Data Quality products and more."
source_url: "https://www.capterra.com/p/230934/Data-Quality-Navigator/"
page_type: "product"
language: "en"
---

# 

 Data Quality Navigator Software Review 2026: Features, Reviews, Integrations, Pros & Cons

Last updated on September 16, 2026

Provider data verified by our Software Research team, and reviews moderated by our Reviews Verification team.

[Description](#description)[Use cases](#use-cases)[Alternatives](#alternatives)[FAQs](#faqs)[Features](#features)[Pricing](#pricing)[Support](#support)[Reviews](#reviews)

Data Quality Navigator

## What is Data Quality Navigator?

Data Quality Navigator (DQN) is BearingPoint’s end-to-end platform for managing and improving data quality, trusted by global brands and backed by over a decade of real-world experience. It offers a wide range of solutions to help organizations get clean, stay clean, and accelerate business initiatives. With business-friendly workflows that include low- and no-code data analysis and rule creation, DQN empowers users to identify issues, cleanse and enrich data, and establish sustainable governance independent of technical expertise. AI features such as auto-correction of data issues, document reading for relevant data extraction, or automatic rule generation tailored to client data further boost productivity and reduce manual effort. Built on expert-developed business content such as 2,500+ rules, continuously updated with client experience, DQN is proven across industries and system landscapes, helping organizations create trust in data and drive digital transformation.

## What is Data Quality Navigator used for?

[Data Analysis](https://www.capterra.com/data-analysis-software/)[Data Preparation](https://www.capterra.com/data-preparation-software/)[Data Management](https://www.capterra.com/data-management-software/)

Top alternative

Featured

Overall rating

Based on 1 user reviews

Reviews sentiment

Positive

\-

Neutral

\-

Negative

\-

### Starting price

Free trial available

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## Data Quality Navigator Overview

Updated September 2026

AI summary

Data Quality Navigator enables organizations of all sizes to assess, cleanse, and manage data across multiple sources, supporting key functions such as profiling, transformation, and duplicate detection. Designed for use in data quality, analysis, management, and preparation contexts, it offers configurable workflows, reporting, and optional features like AI Copilot and real-time monitoring, all accessible via cloud-based deployment.

## Compare with a popular alternative

Capterra selects software alternatives based on relevant features, verified user reviews and user interactions. Placement may be influenced by client status.

### Data Quality Navigator

5.0 (1)

VS.

[4.4 (12)](https://www.capterra.com/p/10004983/SAS-Viya/#reviews)

Starting Price

Contact vendor

Starting Price

Contact vendor

Free Trial

Free Version

Pricing Options

Free Trial

Free Version

Ease Of Use

4.0 (1)

Ease Of Use

4.1 (2,354)

Value For Money

3.0 (1)

Value For Money

3.7 (1,539)

Customer Service

5.0 (1)

Customer Service

3.9 (1,453)

## Data Quality Navigator alternatives

Highest Rated

[Tableau](https://www.capterra.com/p/208764/Tableau/)

[4.6 (2,362)](https://www.capterra.com/p/208764/Tableau/reviews/)

Starting price

$15.00

Per User, Per Month

Pricing Options

Free Trial

Free Version

User Rating

95%

of reviewers

rated it above 4 stars

[Learn More](https://www.capterra.com/p/208764/Tableau/)

[Zoho Analytics](https://www.capterra.com/p/129749/Zoho-Analytics/)

[4.4 (361)](https://www.capterra.com/p/129749/Zoho-Analytics/reviews/)

Starting price

$30.00

Per User, Per Month

Pricing Options

Free Trial

Free Version

User Rating

91%

of reviewers

rated it above 4 stars

[Learn More](https://www.capterra.com/p/129749/Zoho-Analytics/)

[Domo](https://www.capterra.com/p/119119/Domo/)

[4.3 (331)](https://www.capterra.com/p/119119/Domo/reviews/)

Starting price

Contact vendor for pricing

Pricing Options

Free Trial

Free Version

User Rating

85%

of reviewers

rated it above 4 stars

[Learn More](https://www.capterra.com/p/119119/Domo/)

[SAS Studio](https://www.capterra.com/p/252960/SAS-Studio/)

[4.5 (22)](https://www.capterra.com/p/252960/SAS-Studio/reviews/)

Starting price

Contact vendor for pricing

Pricing Options

Free Trial

Free Version

User Rating

100%

of reviewers

rated it above 4 stars

[Learn More](https://www.capterra.com/p/252960/SAS-Studio/)

## FAQs about Data Quality Navigator

Overview

### What company size and specific industries is Data Quality Navigator built for?

Data Quality Navigator is designed for organizations across a wide range of industries, with a strong focus on automotive, consumer goods, retail and lifestyle, energy, resources and transportation, manufacturing and defense, and financial services. The vendor description does not specify a company size, so its audience appears to span businesses of varying sizes.

Features and Usability

### What are the key features of Data Quality Navigator?

Data Quality Navigator offers data profiling, data cleansing, duplicate detection, address validation, and data verification for managing data quality. It also includes data mapping, ETL, data import/export, data synchronization, and data transformation, plus dashboards, reporting/analytics, workflow management, access controls/permissions, and third-party integrations.

Getting Started and Support

### What training and onboarding options does Data Quality Navigator offer?

Data Quality Navigator provides documentation for training and onboarding. Documentation gives teams written reference material for reviewing setup steps, product functions, and feature guidance at their own pace.

Getting Started and Support

### What customer support options does Data Quality Navigator offer?

Data Quality Navigator provides email/help desk support and a knowledge base. With no reviewer feedback about support topics, user experience details such as response speed, agent helpfulness, or common frustrations are not available.

## Features

AI summary

Based on 230 Data Quality reviews

Capterra data shows that buyers of data quality software rank the following features as their top priorities:

-   **Data Capture and Transfer** (**50%** of reviewers rated this feature as critical)
-   **Address Validation** (**55%**)
-   **Data Import/Export** (**43%**)

Data Quality Navigator supports all three of the features reviewers rate most highly: **Data Capture and Transfer**, **Address Validation**, and **Data Import/Export**. Together, these capabilities help businesses collect and move data accurately, verify address information before it creates downstream issues, and exchange records across systems more efficiently, allowing teams to maintain cleaner data and make more reliable decisions.

Reporting/Analytics

4.0 (1)

100.00% of 1 reviewers that rated this feature as important or highly important

View and track pertinent metrics to find patterns and gain insights from data

AI Copilot

5.0 (1)

100.00% of 1 reviewers that rated this feature as important or highly important

A virtual assistant that uses AI to pursue goals and complete tasks on behalf of users

Data Discovery

5.0 (1)

100.00% of 1 reviewers that rated this feature as important or highly important

Discover and connect variety of data sources to the application for analysis

Data Import/Export

4.0 (1)

100.00% of 1 reviewers that rated this feature as important or highly important

Import and export data to and from software applications

Monitoring

5.0 (1)

100.00% of 1 reviewers that rated this feature as important or highly important

Observe and track the demand, usage, progress or quality of a system, product, or user

Visual Analytics

4.0 (1)

100.00% of 1 reviewers that rated this feature as important or highly important

Interact with data visualization elements, such as charts and graphs, to drill down into data

Data Quality Navigator 44 features

### All Features
- Access Controls/Permissions: Define levels of authorization for access to specific files or systems
- Activity Dashboard: Dashboard to view the status of ongoing processes, identify current incidents and track past activities
- Address Validation: Verifies and confirms the accuracy of an address
- AI Copilot: A virtual assistant that uses AI to pursue goals and complete tasks on behalf of users
- API: Application programming interface that allows for integration with other systems/databases
- Collaboration Tools: Provides a channel for team members to share AI models, media files, communicate, and work together
- Compliance Management: Track and manage adherence to policies for any service, product, process, or supplier
- Customer Database: A collection of customer information such as contact details, demographics, previous interactions, etc.
- Customizable Rules: Rules followed by the software/AI can be configured by users to suit their specific needs
- Dashboard: Assembly of graphs and charts for visualizing and tracking statistics/metrics
- Data Analysis Tools: Analyze survey results via statistical testing or crosstabs directly within the software
- Data Capture and Transfer: Import, collect, and capture data from multiple sources
- Data Cleansing: Removes data that is incomplete, inaccurate, or irrelevant from a dataset
- Data Discovery: Discover and connect variety of data sources to the application for analysis
- Data Extraction: Automatically retrieve and pull information from documents, websites, images, data sets, and other sources
- Data Import/Export: Import and export data to and from software applications
- Data Mapping: Track the management and flow of data throughout the organization
- Data Migration: Move from one database to another, or upgrade the version of database software being used
- Data Profiling: Examines, analyzes, and organizes data to create relevant summaries or graphs.
- Data Quality Control: Establish guidelines about how much and what kind of data can be stored in the repository
- Data Synchronization: Synchronizing data between two or more devices/systems and automatically updating changes to maintain consistency
- Data Transformation: Translate EDI formats into data suitable for use with company applications.
- Data Verification: Process of checking different types of data for accuracy to avoid errors or inconsistencies
- Data Visualization: Graphical representation of data
- Duplicate Detection: Compare new data with existing records to detect duplicate entries
- Email Address Extraction: Extract email addresses from multiple data sources
- ETL: Process of extracting, transforming, and loading data
- Generative AI: Use AI to generate content in the form of text, images, videos, etc.
- Information Governance: Accountability over info/data that ensures appropriate behavior in the valuation, creation, storage, use, archiving & deletion of info.
- Master Data Management: Verify, organize, manage & store enterprise data assets in a centralized repository
- Match & Merge: Looking at data from different sources and finding possible duplicates, or identical matches
- Metadata Management: Collect and maintain structured information that describes data or content
- Monitoring: Observe and track the demand, usage, progress or quality of a system, product, or user
- Multi-Language: Manage and support multiple languages
- Multiple Data Sources: Allows users to manage data from a number of sources
- Performance Metrics: A set of indicators that tracks the performance of networks, applications, systems, teams, etc.
- Reporting/Analytics: View and track pertinent metrics to find patterns and gain insights from data
- Search/Filter: Search and filter data across systems to locate required information by entering keywords or certain criteria
- Self Service Portal: Online portal through which end users can access the system, manage tasks, or obtain information
- Single Sign On: Allow users to access multiple services after entering their login credentials once
- Third-Party Integrations: Set up connections to third-party platforms to improve business processes
- Version Control: Track revisions and updates made to files and navigate between different versions
- Visual Analytics: Interact with data visualization elements, such as charts and graphs, to drill down into data
- Workflow Management: Create, design and manage workflows for repetitive tasks

---

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Features

4.0 (1)

4.0

Based on 1 reviews

## Pricing

Value for money

3.0 (1)

### Starting price

Free trial available

Value for money

3.0 (1)

3.0

Based on 1 reviews

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## Support, customer service and training options

Customer Service

5.0 (1)

Support

-   Email/Help Desk
-   FAQs/Forum
-   Knowledge Base
-   Phone Support
-   24/7 (Live rep)
-   Chat

Training

-   In Person
-   Live Online
-   Webinars
-   Documentation
-   Videos

Deployment

-   Web
-   Android
-   iPhone/iPad

Typical users

-   Freelancers
-   Small businesses
-   Mid size businesses
-   Enterprises

Customer Service

5.0 (1)

5.0

Based on 1 reviews

## User reviews

Overall rating

5.0

Based on 1 reviews

Filter by rating

5(1)

4(0)

3(0)

2(0)

1(0)

Mentioned topic

Sorted by most recent

KM

Kelbesa M.

Business Developer and Systems Engineer

Computer Software

### "Reliable tool for improving data quality with room for performance improvements"

5.0

Overall Rating

5.0

5.0

Ease of Use

4.0

4.0

Features

4.0

4.0

Customer Service

5.0

5.0

Likelihood to Recommend

10/10

May 27, 2026

Overall, my experience with Data Quality Navigator has been positive. It provides strong capabilities for monitoring and improving data quality, helping to identify inconsistencies and ensure more reliable data across systems. While there are some challenges around performance with large datasets and a learning curve for advanced configurations, the platform is still effective and valuable for maintaining data accuracy and supporting better decision-making.

Pros

What I liked most about Data Quality Navigator is its ability to efficiently monitor and identify data quality issues in a centralized and organized manner. The platform provides clear visibility into data inconsistencies, helps improve data accuracy, and reduces manual effort in validation and troubleshooting. Its reporting and monitoring features are also practical and easy to use.

Cons

What I liked least about Data Quality Navigator was that performance can sometimes slow down when handling large datasets or complex reporting tasks. In addition, some advanced configurations and integrations may feel complicated for new users and could benefit from more detailed documentation and onboarding support.

Review source

Non-incentivized review: any software user can leave a review for any product listed on our site. All submitted reviews are subject to our verification process prior to publication.

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