Data Foundation & Engineering
We transform your data silos into valuable business assets. By connecting all your data — from ERP, CRM, external interfaces, and production systems — we create reliable, unified, and clearly structured data platforms for your key insights.
The path to a smart data platform
Our data maturity model shows the path to a modern, data-driven organization. Step by step, you develop your data landscape —
from isolated silos to a fully integrated, scalable, and intelligent platform that creates sustainable business value.
Stage 4 – Intelligent:
Fully automated DataOps with self-service analytics and high data quality as standard
SUSTAINABLE MATURITY PATH
Stage 3 – Scalable:
Cloud-native pipelines deliver reliable, near real-time data for the business
Stage 2 – Integrated:
Central data platforms consolidate information, initial automation begins
Stage 1 – Fragmented:
Data is stored in isolated silos, reporting is manual and error-prone
Modern platforms for scalable, secure, and efficient data processes
Azure Data Platform Services (Azure Data Factory (ADF), Azure Synapse Analytics, Azure Data Lake Storage (ADLS))
Snowflake
dbt
python
SQL Server
Structured approaches for modeling, automation, and quality assurance
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Data Vault modeling
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ELT/ETL automation
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Master data management (MDM)
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Data quality frameworks
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Extensive experience in key business areas and operational functions
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Cloud-native platforms: use of Snowflake, Databricks, BigQuery, and Redshift for scalable, high-performance data architectures.
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Lakehouse approach: combining data lake and data warehouse to efficiently process structured and unstructured data.
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Automation & CI/CD: building DevOps pipelines for continuous integration, versioning, and quality assurance of data models.
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Structured approaches to ensure consistent and reliable data
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Quality policies and standards
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Automated monitoring
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Data validation and cleansing
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Governance integration
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Data solutions for independent analysis and informed decision-making
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Intuitive dashboards
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Curated data models
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Controlled data access
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User enablement and training
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CORE CAPABILITIES
Our capabilities and tech stacks
Our capabilities combine cutting-edge technologies, proven methodologies, and deep industry expertise to ensure reliable and scalable solutions. We apply the right tools and techniques specifically to your unique challenges — maximizing business value at every stage.
our approach
How we create impact
End-to-end ownership
From requirements gathering to operations: our analytics engineers ensure seamless execution and rapid iteration.
Agile excellence
We work in short, outcome-focused sprints, continuously integrate new features, and apply modern data engineering practices.
Scalable architecture
We build cloud-native platforms based on AWS, Azure, and GCP — supported by tools like Snowflake, Databricks, Kafka, and dbt.
Quality & governance by default
Through integrated testing, monitoring, and data quality frameworks, we ensure reliability and trust in every dataset.
Use Cases
One central forecasting system for your business metrics. Whether revenue, order intake, costs or predicted returns.
Predictivio provides a central forecasting foundation for revenue, demand, planning and market developments.
Manufacturing & Supply Chain
Plan demand and capacity more accurately
Reduce inventory and bottlenecks
Detect demand changes earlier
Finance & Controlling
Accelerate budgeting and forecasting
Detect deviations earlier
Simulate revenue, order intake and sales
Asset Management
Forecast market, industry and economic developments
Detect relevant external signals earlier
Evaluate opportunities, risks and scenarios based on macroeconomic and market data
EXECUTION MODEL
Our roadmap approach
01
Evaluation & needs assessment
Define objectives, identify challenges, align on desired outcomes.
02
Define objectives, identify challenges, align on desired outcomes.
Evaluate existing systems and define the data architecture.
03
Source system analysis & architecture design
Development of data pipelines & modeling
04
Governance & quality framework
Establish responsibilities, policies, and documentation.
05
Deployment & enablement
Deploy systems, train users, and support adoption.
06
Continuous improvement & scaling
Iterate, optimize, and expand use cases.
“A modern data architecture is not an end in itself. It is the foundation on which companies make their best decisions.”
Christian Lingg
Co-founder of Mylantech
YOUR NEXT STEP
Start your Data Foundation journey
These examples show how we support you in engineering
Full Data Assessment
DISCOVERY & ANALYSIS
Price: €5,000
Detailed assessment of data platforms, cloud infrastructure & BI tools
Architecture blueprint for a modern, scalable analytics platform
Management presentation with ROI rationale for leadership buy-in
Objective: In-depth analysis and technical roadmap for your data foundation strategy.
