Trusted Data
Take back control of your data quality
We help your teams regain ownership of their data by grounding the approach in real business use. We turn a topic that is often diffuse and handled reactively — data quality — into a long-term product with a roadmap, metrics and engaged users.

Your main challenges
Unreliable data that undermines trust and slows action
Analyses often create doubt instead of decisions. Missing figures, inconsistent metrics, manual reprocessing. Teams spend more time checking data than acting on it. This slows processes, weakens initiatives and fuels widespread mistrust.
Growing technical debt due to lack of a shared framework
Issues surface at every stage of the data lifecycle. Without a global approach, fixes remain isolated, costly and ineffective. Debt grows until it blocks key projects.
Unclear governance that prevents steering quality
Critical data left unidentified, unclear roles, missing metrics. Without a shared framework, teams operate without visibility — until a client issue or audit exposes the gaps.
Our approach
Root the approach in business use cases
We start from concrete operational problems to identify critical data and align teams around shared objectives.
Structure a long-term “Data Quality” product
We implement clear governance with a roadmap, metrics and rituals to manage quality as a product.
Provide a structured, tool-based framework — without imposing a stack
Automated tests, data contracts, monitoring, alerting, dashboards. We adapt tooling to your technical context and maturity.
Build a sustainable and scalable method
We work hand in hand with business, IT and data teams to co-build the approach, strengthen ownership and ensure long-term continuity without dependence on external partners.




They trust us

Carrefour: Achieving a 7.5% revenue increase in 9 weeks through assortment optimisation
Design and deployment of Store Adaptor, an algorithmic assortment recommendation engine for 1,200 Carrefour stores.
Our offers

Reach out to
David Oks
David Oks, VP of Data Engineering, supports you in your data projects.
Contact us