Orchestrate and cleanse your multi-system data with DQE

July 7, 2026

Connect, transform and cleanse your customer data across systems with DQE One Standalone

In multi-system organisations, data flows constantly across CRMs, e-commerce platforms, ERPs and data warehouses. With every migration or synchronisation, data teams run into the same obstacle: source A and source B never quite speak the same language.

Until now, migrating data properly required two separate tools: an ETL to reformat it on one side, and a data quality solution to cleanse it on the other. To address this challenge, DQE has launched the Standalone, which brings together the essential transformation, mapping and Data Quality functions required for migration and synchronisation projects

Systems that don't talk to each other, teams that pay the price

Behind every migration or synchronisation project between systems lie very concrete obstacles that data teams encounter with each new flow:

Time lost on manual mapping. Source A and source B never use the same conventions: what's called "Full Name" in your CRM (source A) becomes "first_name" and "last_name" in your e-commerce platform (source B). As a result, every migration or synchronisation starts with a tedious matching exercise, redone by hand for each new flow (with its share of errors and delays).
Quality issues discovered only once the migration is complete. An ETL moves and reformats data from source A to source B but doesn't cleanse it. Duplicates, invalid addresses and incorrect email addresses therefore arrive at their destination uncorrected.
Costly double tooling. Migrating properly from source A to source B theoretically requires an ETL on one side and a data processing solution on the other: two tools to integrate, two teams to mobilise, two licences to fund for a single flow.
Multiple flows that are difficult to manage. CRM to e-commerce, CRM to ERP, exports to the data warehouse: as source A / source B combinations multiply without a centralised tool, oversight becomes blurred and the risk of inconsistency between systems increases.

DQE One Standalone: a single interface to connect, transform and cleanse your customer data

1. Multiple migrations managed from a single place
DQE One lets you configure as many source A / source B combinations as needed, without multiplying tools or licences. Each migration or synchronisation therefore runs independently, from a single point of control.
2. Visual, reusable mapping between source A and source B
From a visual interface, configure the mapping between the fields of your source A and those of your source B (renaming, merging, splitting, structure conversion). Once configured, it's saved and applied automatically with every migration, either continuously or as needed.
3. Quality in transit, not post-migration
As well as being reformatted, customer data is checked and processed before it reaches its destination.
4. Traceability per flow
Each migration has its own log listing the data transferred, the processing applied and the records changed.

To find out more about DQE One Standalone or speak with an 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.