Clean and enrich your customer data directly in Snowflake

April 29, 2026

Clean and enrich your customer data directly in Snowflake with DQE One Standalone

More and more organisations are centralising their data on cloud platforms such as Snowflake to analyse, share and activate data at scale. These environments make it possible to ingest, transform and leverage massive volumes of data coming from multiple sources (CRM, ERP, marketing tools, partners, etc.).

Yet over time, customer data quality quietly deteriorates: duplicates, outdated information, inaccurate data, and more.
Result: hidden costs that directly impact business performance.

A powerful data warehouse, but unreliable data

In this context, data teams face several critical challenges:

Invisible but costly duplicates, leading to multiple communications sent to the same customer (stored under different variants) and damaging brand image.
Unverified and outdated addresses, increasing logistics returns and degrading the customer experience.
Invalid email addresses, resulting in high hard bounce rates, lower deliverability and inefficient campaigns.
Incorrect legal data, complicating billing processes and exposing the organisation to compliance risks.
The need to extract data outside Snowflake for quality checks, increasing data circulation risks and conflicting with security and data sovereignty requirements.

Make your customer data reliable directly in Snowflake

DQE One Standalone connects in under five minutes using your existing Snowflake credentials. Once connected, users can assess and improve customer data quality directly within the warehouse: No extraction, no ETL pipeline and no compromise on GDPR compliance.

Automatic data profiling: analysing table structure and content, identifying high-risk fields, and running diagnostics instantly.
Business rule configuration: ensuring email and phone uniqueness, mandatory field completeness, format validity, legal data compliance, and detecting duplicates, even including different spellings.
Native push-down execution in Snowflake: translating rules into SQL and running them directly within Snowflake, with no data extraction (zero-copy).
Data quality dashboards: displaying quality scores by data quality dimension (completeness, uniqueness, validity, compliance), tracking trends over time and generating exportable reports.

Business benefits

Reliable databases: de-duplicated customer records with validated, up-to-date data.
High-performance marketing campaigns: improved email deliverability, reduced hard bounce rates and stronger ROI.
Optimised logistics: fewer returned mail items and failed deliveries.
Frictionless billing: legal data validated directly at source.
A privacy-by-design approach that minimises the copying and movement of data.

Want to learn more about the Snowflake connector or speak with a DQE expert?

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.