The Data Quality solution for reliable, unified customer data

Check, deduplicate and enrich the contacts in your B2C and B2B customer databases.

All DQE One modules DQE One Data Q Unify Enrich Duplicate Look-up Phone Email Address BtoB Name Id Mobile Geocoding Relocate Finesis Rekkolt Carbon Footprint Calculator Powered by AI

DQE One, a complete and modular Data Quality Management solution

DQE One supports organisations across all sectors that need robust tools to validate, correct, deduplicate and enrich their customer data, ensuring it can be fully exploited across the business.

Data quality suited to all infrastructures

Two ways to process your customer data

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Batch (curative)

Batch (curative)

Run secure one-off or recurring data quality operations on your existing customer databases.
Icon Center Dqe Real Time Mint

Real time

Real-time

Instantly verify and secure data at every collection point (PoS, ERP, eCommerce, CRM and more).

Trusted by more than 800 companies using our Data Quality solutions

DATA ENTRY SUPPORT, VERIFICATION & RELIABILITY

DataQ, for clean, qualified and actionable customer data

DataQ offers 6 modules to validate and cleanse customer information: postal addresses, phone numbers, email addresses, names, titles, companies and more.

Key benefits: optimised data capture, error-free forms, reachable contacts, duplicate-free databases and stronger support for CRM, marketing and e-commerce teams.

DataQ DQE EN
DEDUPLICATION & MERGING

Unify, for consolidated, duplicate-free customer data

The Unify solution includes 2 modules dedicated to identifying duplicates (contacts, accounts, leads, custom objects) and merging customer databases.

Key results: a 360° customer view, essential for enhancing customer knowledge, optimising marketing & CRM campaigns, and delivering a better experience.

SEARCH & ENRICHMENT

Enrich, turn your customer data into a performance driver

The Enrich solution brings together 4 modules for data search, enrichment and value creation: real-time customer geolocation, postal address updates after relocations, socio-behavioural segmentation, and data enrichment & rental.

Key benefits: deeper customer knowledge, sharper segmentation, more accurate targeting and personalised communications.

Enrich DQE EN

A wide range of connectors compatible with our data quality solutions

Choosing DQE means choosing:

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Comprehensive functional coverage

to process all customer data: postal address check, telephone, email, and more.

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International coverage

with the most complete and reliable geographical frameworks available.

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Robust and efficient technology

capable of processing large volumes of data.

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State-of-the-art deduplication

built on our exclusive Smart Contextual Matching technology.

DQE One, the data quality management solution enabling your success

FAQ

Data quality refers to the accuracy, completeness, consistency, and reliability of data stored in a system. For businesses, poor data quality leads to failed deliveries, wasted marketing spend, degraded customer experience, and compliance risks. Maintaining high-quality customer data — valid addresses, reachable emails, correct phone numbers — is essential for any organization that relies on customer communication. Solutions like DQE One help companies validate, deduplicate, and enrich their databases continuously.
The most common causes are human input errors (typos, transpositions), deliberate entry of false information, data decay over time (people move, change jobs, update their email), and the absence of validation at the point of collection. Duplicate records created across multiple systems also degrade overall data quality. Real-time validation at every data entry point is the most effective way to prevent errors from accumulating.
Data deduplication is the process of identifying and merging records that refer to the same person or entity but appear multiple times in a database. It typically uses fuzzy matching algorithms that can detect similarities despite spelling variations, name inversions, or different address formats. Advanced solutions like DQE’s Unify module use “Smart Contextual Matching” to identify duplicates even when the data isn’t identical, giving teams a consolidated, single view of each customer.
A Data Quality Management solution is a software platform that helps organizations measure, improve, and maintain the quality of their data on an ongoing basis. It typically covers data validation (checking that values are correct and properly formatted), standardization (normalizing data to consistent formats), deduplication (removing duplicate records), and enrichment (adding missing or additional information). DQE One is an example of a modular DQM platform used by over 800 companies across industries.
Real-time validation checks data at the moment it is entered — in a web form, CRM, or point-of-sale terminal — preventing errors from ever reaching the database. Batch processing, by contrast, runs over an existing dataset at scheduled intervals to clean and correct records already stored. Both approaches are complementary: real-time validation keeps incoming data clean, while batch processing cures historical data. Most enterprise data quality platforms, including DQE One, support both modes.

About DQE

Because Data quality is essential to customer knowledge and the construction of a lasting relationship, since 2008, DQE has provided its clients with innovative and comprehensive solutions that facilitate the collection of reliable data.

18

Years of
expertise

800

Clients in all
sectors

10Bn

Queries per
year

240

Internationnal
repositories

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DQE FR

102 - 110 rue Victor Hugo,
92300 Levallois
France

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DQE UK

100 Bishopsgate
London EC2N 4AG
United Kingdom

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DQE USA

1200 Brickwell Ave Ste 1960
Miami FL 33131
United States

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DQE China

Room D56, 11th Floor, No. 55 Tianlin East Road, Xuhui District, Shanghai,
China

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