Focus
Data architecture & target picture
Domains, data flows and target architecture cleanly modeled. A grown landscape turns into a viable target picture with a clear migration line and decided interfaces.
DigitalizationOne data foundation.
Data Management as an Operating Standard
One data foundation.
For reporting, AI, compliance.
Data architecture, governance and master data in one framework. Scattered sources become a reliable base for reporting, AI and regulatory evidence. We bring structure and ownership into data.
architecture · active
Why it matters
Scattered data cannot
carry decisions.
Reports pull from five sources, each with its own truth. AI projects fail on data quality. Compliance needs evidence that nobody maintains. The foundation has to be laid before anything new can stand.
In many organizations, data landscapes grow historically. Every department builds its source, every tool brings its schema. Master data sits in three places, definitions differ between controlling and sales, lineage lives only in the heads of a few. It works until the first audit or AI project demands evidence.
We build a shared architecture with clear governance. The goal is not the perfect platform, it is a usable foundation with defined domains, quality rules and accountability. Reporting, analytics and AI run on the same truth, compliance gets its evidence without extra effort.
Expertise
What we do for
your data foundation.
Four priorities that interlock in every data mandate. Depending on maturity we start with architecture, governance, master data or platform.
Focus
Data governance & quality
Roles, policies and quality rules anchored in operations. Data owner, steward and consumer know what they are accountable for. Quality is measured, not claimed.
Focus
Master data management
Master data for customer, product and vendor harmonized and maintained. One golden record per domain, curation process and release logic documented. Reporting and operations run on one base.
Focus
Platform: lakehouse, warehouse, mesh
Technical platform selected and built per use case. Lakehouse for analytics and AI, warehouse for standard reporting, data mesh for decentralized domains. Pragmatic, not dogmatic.
Approach
Three stages
to a viable data foundation.
Twelve to sixteen weeks depending on scope. We work with IT, business and compliance together, not on a consulting island.
01
Data map
Map sources, domains and data flows. Interviews, system scans and extracts from ERP, CRM and data warehouse. Output: complete map with quality findings and prioritized action fields.
02
Architecture & governance
Target architecture, domain cut, governance framework. Roles, policies and quality rules defined and aligned with owners. Output: decided target picture with operating model and roadmap.
03
Platform & enablement
Technical platform set up, first domains migrated, teams enabled. Data stewards and consumers work on the new base. Output: running operation with documented architecture and active governance.
Your value
What you take away
after the mandate.
A data foundation that holds in daily work. No slides, architecture, governance and platform in operation.
Quality
Measurably reliable data
Quality rules run automated, error rates drop, master data is unambiguous. Reporting and operations work on one truth, debates about numbers get shorter.
Compliance
Evidence without extra effort
Data lineage, quality findings and access logic are documented. Audits, GDPR requests and regulatory reports are served from the platform, not reconstructed from spreadsheets.
Speed
Faster analysis
Data consumers find, understand and use data on their own. New reports and analyses take days instead of weeks. IT is relieved, business teams can act.
AI-Ready
Foundation for AI
Clean, documented and quality assured data is the precondition for robust AI applications. Models train on a reliable base, results stay traceable.
Discovery Call
Ready for a viable data foundation?
30 minutes. Initial assessment of data landscape, governance maturity and platform options. No commitment.