Problem
Issues with data flow, usage, and quality limit your growth
Decision-makers can't find the right data or wait too long to use it
Every new report or AI use case starts from scratch
AI lacks clear context, semantics, and verified sources
Solution
One trusted data foundation for AI,
analytics, planning, and decision-making
Unified data across systems from any source
We unify data from the systems your business runs on (SAP, ERP, MES, CRM, IoT, databases, files, and cloud applications). Instead of isolated databases, spreadsheets, and local solutions, you get an environment where everyone works with the same up-to-date data.
Anchor your metrics
and the meaning of data
Create a Single Source of Truth with clear definitions, metadata, and business logic, so AI agents as well as analytics, dashboards, or planning models all work with the same trusted numbers and business context.
Build a secure foundation for AI
Governance isn’t a phase at the end. It has to be built into every layer. Role-based access, row- and column-level security, data lineage, audit trails, and secure interfaces, so users and AI models access only verified, permitted, and relevant data.
A modular, scalable architecture that grows with you
No monolith, no lock-in, no endless redesign. Start with one high-impact use case, build the foundation it needs, and expand from there. Each layer can scale or change independently, so your platform evolves with your strategy.
Do you have a process where data or AI is not delivering the expected impact?
Use cases
Unified data platform
& cloud modernization
- Cut infrastructure costs and unlock AI use cases by migrating legacy DWH to a modern cloud platform
- Consolidate data silos into one scalable and governed platform
- Replace scattered databases, spreadsheets and local solutions
- Connect structured and unstructured data for deeper business context
- Use FinOps for cost transparency and data & AI workload optimization
- Enable risk-free phased migration with parallel runs and no BI disruption
Data governance, cataloging
& quality
- Governed metadata and clean business context with semantics on which your AI agents can rely on
- Centralize master data for customers, products, materials and suppliers
- Create a searchable, user-friendly inventory of all data assets & definitions
- Enable full audits and impact analysis with end-to-end traceability
- Automated tests with alerts for data errors and quality issues
- Assign clear domain ownership so every data issue has an owner
AI/ML
& guenAI enablement
- Prepare AI-ready data for document processing, vectorization and feature pipelines on governed data
- Ground GenAI agents and assistants in trusted enterprise data
- Deliver accurate answers without hallucinated numbers
- Run predictive analytics, forecasting, anomaly detection & optimization
- Move from pilot to production with monitored ML & LLM workflows
- Access AI models securely without lock-in or data leaving your platform
Data
pipelines
- Connect to any source, from SAP (BAPI, ODP and CDS views),ERP, MES, CRM, IoT, files, cloud apps and others
- Ingest data through streaming, event streaming and near real-time pipelines
- Apply Change Data Capture without slowing down source systems
- Match batch or streaming patterns to each use case and freshness need
- Orchestrate observable pipelines with control over every data flow
- Reverse ETL to push enriched data back into CRM, ERP and operational systems
Self-service analytics
& data democratization
- Use a semantic layer with certified datasets and consistent metrics in any BI tool
- Ground AI assistants in the same trusted business definitions
- Enable business teams to build their own reports and analyses
- Ask business questions in plain language. No SQL, no analyst backlog
- Provide governed self-service with user freedom and IT guardrails
- Share data securely with partners or turn it into a monetizable product
Data security
& compliance
- Control access with row- and column-level security and role-based permissions
- Classify data and protect PII with detection, masking and anonymization
- Secure data with encryption, network isolation and customer-managed keys
- Support GDPR, retention policies, audit trails & automated regulatory reporting
- Ensure EU data residency on certified and sector-specific platforms
- Ensure EU AI Act readiness through governance and documentation
Explore our other data & AI solutions
Technology adoption for its own sake has never created value, which is also true with gen AI.
McKinsey & Company
Let’s solve your AI data challenges
If you are considering AI or dealing with data quality and how data is used in decision-making, we will define the next step together — one that makes sense in the context of your business.