Service 02 · Data cleaning & modelling
Data you can finally trust
Duplicates, empty fields, the same date written three different ways, a customer's name repeated with five variants. No analysis is better than the data it's built on.
The challenge
Uncleaned data, wrong decisions that look right
A polished dashboard built on uncleaned data doesn't give bad answers by accident — it gives them with total confidence, and that's worse. Data cleaning isn't the flashiest part of the job, but it's what decides whether the decisions you make afterwards are reliable, or just look that way.
How we do it
From scattered data to reliable tables
Auditing
We review duplicates, empty values, inconsistencies and mismatched formats for the same field.
SQL transformation
Documented, repeatable scripts — not manual fixes you have to redo every month.
Modelling
Normalised tables, ready to analyse, cross-reference and automate without surprises.
Ongoing validation
Rules that flag it if quality degrades over time, not just a one-off clean-up.
Who it's for
- Businesses with inconsistent, duplicated or poorly structured data.
- Teams that no longer fully trust their own reports.
- Companies that want to build dashboards or AI agents and need a reliable foundation first.
What you get
- A cleaned, modelled database.
- Documented, reusable SQL scripts.
- A data quality report.
- Validation rules to maintain quality over time.
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