Data · Dashboards · AI · Web

We turn your data into decisions, and your ideas into digital products.

We design your company's data architecture end to end: from cleaning and modelling in SQL to dashboards, technical documentation, AI agents and the website that presents it all.

Projects
End-to-end
Focus
Data + AI
Clients
From freelancers to large companies
SQLPythonPower BILooker StudioOpenAI / LLMsCloud

How we work

A clear process, start to finish

01

Discovery

We look at your business, your data sources, and which decisions you need to make better and faster.

02

Architecture & cleaning

We design the data model and clean the information in SQL so it's genuinely reliable.

03

Build

We build the dashboards, AI agents or website, documenting each piece as we go.

04

Delivery & support

Usage training, final documentation and post-launch support so the project stays alive.

Who's behind it

About DATA·QUERY

DATA·QUERY was born from real experience working on large-scale data projects in the telecommunications sector, where order, cleaning and good architecture make the difference between useful data and ignored data.

That same approach — end-to-end, no shortcuts — is what we apply to every project, from a freelancer just starting to organise their data to a large company with complex systems: understand the business, organise the data, and build something on top that's actually used.

  • End-to-end approachFrom the raw data source to the final decision, with no gaps along the way.
  • Technical rigourClean SQL, documented architectures, and no "black boxes".
  • ClosenessDirect dealings, no middlemen, adapted to the real size of your business.
  • Product mindsetEvery project is delivered ready to use, not just "working".

What changes when you work with us

From data as it is, to data as it should be

These three examples are illustrative: they represent the kind of transformation we aim for in any project, not specific clients.

Illustrative example

SME with data scattered across spreadsheets

Before

Every department keeps its own spreadsheets, with its own criteria. No one fully trusts the numbers in the monthly report.

After

A single SQL data model, with clear definitions, and a dashboard the whole team checks without doubting what they see.

Illustrative example

Customer support overwhelmed by repetitive questions

Before

The team answers the same questions by hand every day, and out-of-hours queries go unanswered until the next day.

After

An AI agent connected to the business's real data answers FAQs 24/7, and only escalates to a person when needed.

Illustrative example

All the knowledge lives in one person's head

Before

Only one person on the team truly knows how the data is set up. If they leave or go on holiday, everything slows down.

After

A data dictionary, diagrams and clear manuals: anyone on the team can understand and maintain the system, not just whoever built it.

Let's talk

Have a data, AI or web project in mind?

Tell us what you need and we'll get back to you with an initial, no-obligation assessment.