![Denis B.](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "Denis B.")
DB

Denis B.

Chief Technology Officer

Mid-Market (51-1000 emp.)

1/27/2026

"Simple API and very precise results for normalizing our POI addresses"

5/5

What do you like best about DQE One?

We were looking for a reliable solution to standardize the addresses of our points of interest (POIs). DQE One offered us an API of remarkable simplicity, both in its use and in its implementation by our technical teams. The integration into our data processing pipeline—which runs daily—was immediate and seamless, thanks to clear documentation and an intuitive architecture.

The results obtained exceeded our expectations, with accuracy far superior to that of other solutions tested on the market. Whether for complex addresses or special cases, the API demonstrated a robustness that simplified our workflow.

The interactions with the DQE One support team were quick, relevant, and solution-oriented. Their advice allowed us to optimize our implementation and make informed decisions, thereby enhancing the overall efficiency of our project.

In summary: A turnkey solution, efficient and supported by a responsive team. A choice we recommend without hesitation for any organization facing address standardization challenges. Review collected by and hosted on G2.com.

What do you dislike about DQE One?

The user interface of DQE One seemed a bit outdated to us, but it didn't bother us too much and didn't have a significant impact on our use. Review collected by and hosted on G2.com.

What problems is DQE One solving and how is that benefiting you?

DQE One primarily addresses three critical issues we had.

The first concerns the normalization of addresses. Our databases (notably those of POIs) often contain poorly formatted, incomplete, or inconsistent addresses, which complicates their daily use, for example, for geolocation, deliveries, or territorial analyses. With DQE One, the API standardizes addresses in real-time, with an accuracy we have found to be superior to that of competing tools.

The second issue is integration into our existing pipelines. Normalization solutions are often cumbersome to deploy, especially in constrained technical environments (e.g., daily pipelines, microservices architectures). Here, the API is designed for quick integration, with clear documentation and simple endpoints. This fits well with a "lean" approach: in the end, we saved time on the technical teams' side and reduced friction.

Finally, DQE One helps us reduce operational risks. Incorrect addresses can lead to failed deliveries, biased analyses, or non-compliance (e.g., GDPR for customer data). The tool's accuracy limits these risks, which was essential for us, as data reliability is a cornerstone. Review collected by and hosted on G2.com.

Show More

Current UserValidated ReviewerSource: OrganicAI Translated

See what 39 reviewers think of DQE One

4.8 out of 5 · Verified reviews from real users

[
Read all reviews
](https://www.g2.com/products/dqe-one/reviews)