Data Governance & Data Quality
Know where every piece of data comes from, who owns it, and whether you can trust it — and protect what is confidential
Without knowing where data comes from, who owns it, and whether it is reliable, no analysis and no AI model has a solid foundation — and confidential information remains exposed. We implement Data Catalogs automated with machine learning, Data Lineage to trace sources, and Data Masking systems to protect confidential information. The result is data that is governed, traceable, and reliable.
The service in brief
- Service
- Data governance and data quality: Data Catalog, Data Lineage, and Data Masking.
- When you need it
- The origin of data is unknown, quality is unreliable, and confidential information is not protected.
- R.O.C.E. phase
- Control: the third phase of the Miriade R.O.C.E. methodology (Recover · Optimize · Control · Evolve).
- Scope
- Cataloging, lineage, quality, masking, ownership, and data policies.
- Approach
- Making data traceable, reliable, and protected — the foundation for analytics and AI.
- Distinct from
- Observability (visibility into systems) and DevSecOps & DataSecOps (pipeline and data security).
When you cannot trust your data
The service fits when data governance is missing: no one knows where data comes from, its quality is unknown, and confidential information is not adequately protected.
Governing data
Data Catalog (ML)
Data catalogs automated with machine learning, to make your data assets discoverable, understandable, and reusable.
Data Lineage
We trace the origin and path of data: where it comes from, how it has been transformed, and where it is used.
Data Masking
Masking systems that protect confidential information while keeping data usable where needed.
Data quality & ownership
Quality rules, ownership, and policies that make data reliable and make the people who manage it accountable.
No trust in data, no AI
Data you can trust is data for which you know its origin, its quality, and who protects it.
Catalog, lineage, and quality are not formalities. They are what make decisions reliable and AI sustainable. Without knowing where data comes from and whether it is clean, every model amplifies errors instead of reducing them.
The technologies we use
Some of the technologies and platforms we work with on this service.
The tools of governance
Data governance is one of the pillars of control in this area, alongside observability, AI governance, and security.
Observability, DataOps & AIOps
End-to-end visibility, predictive AIOps, and data flow automation.
ControlAI Platform Governance & Control
Audits, rules, and control over AI model decisions, bias, and consumption.
ControlDevSecOps & DataSecOps
Shift-left security in pipelines and protection of sensitive data.
Data Governance & Data Quality
Data Catalog, Data Lineage, and Data Masking for reliable data.
You are hereSRE & Continuous Platform Support
Continuous management of business-critical platforms based on SRE principles.
Frequently asked questions
What is Data Lineage?
It is data traceability: it shows where data comes from, how it has been transformed, and where it is used, so that you can verify its reliability.
What is Data Masking?
It protects confidential information by masking it: data remains usable where needed, without exposing what is sensitive.
How is it different from Observability, DataOps & AIOps?
That service provides operational visibility into systems and flows. This one governs the data itself: catalog, origin, quality, and protection. The two complement each other.
How is it different from DevSecOps & DataSecOps?
That service secures pipelines and data. This one catalogs and traces data and makes it reliable. They often work together.
Is it useful for AI?
Yes. Without governed, reliable data, AI produces unreliable results. Data governance is a precondition for AI in production.
How is it different from the Data Ecosystem Assessment?
The assessment rationalizes the ecosystem (fewer tools, an integrated architecture). This service governs the catalog, lineage, quality, and protection of data over time.
Do you want data you can truly trust?
Tell us what your data governance looks like today and what is missing — catalog, lineage, quality, protection. We start with an assessment and build data that is traceable, reliable, and protected.
Data you can truly trust
Tell us what your data governance looks like today and what is missing — catalog, lineage, quality, protection. We start with an assessment and build reliable data.
We use the data you submit only to contact you about this request.
