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.