Service · Data Foundation & Engineering
We connect relevant ERP, CRM, market, and production data into a reliable data platform — the foundation for reporting, analytics, and AI.
CAPABILITIES
Data Platform Engineering
Lakehouse & Data Mesh Architectures
Data Quality & Governance
Pipeline Automation
BI & Reporting Foundations
ASSESSMENT OFFER
2 Days
Data Readiness Assessment including an architecture review — your data landscape assessed, bottlenecks identified, roadmap prioritized.
Architecture Review
Data Quality Check
Prioritized Roadmap
USE CASES
Use Cases for Your Data Foundation
From pipeline automation to data governance — typical challenges we solve for you.
DATA PLATFORM ENGINEERING
Reporting Takes Days Instead of Minutes
Manually consolidating Excel data from different source systems costs valuable time.
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DATA QUALITY & GOVERNANCE
Numbers Don’t Match Across Departments
Different teams report different numbers for the same metric.
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PIPELINE AUTOMATION
Pipelines Break With Every Schema Change
Manually maintained ETL scripts are error-prone and hard to maintain.
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DATA MATURITY JOURNEY
The Path to a Smart Data Platform
Our data maturity model shows the path to a modern, data-driven organization. Step by step, you evolve your data landscape — from isolated silos to a fully integrated, scalable, and intelligent platform that creates lasting business value.
Data sits isolated in silos, reporting is manual and error-prone.
OUR APPROACH
How We Deliver Impact
Four principles guide every engagement — from the first analysis to production operation.
01
End-to-End Ownership
From requirements gathering to operations: our analytics engineers ensure seamless delivery and fast iteration.
02
Agile Excellence
We work in short, outcome-driven sprints, continuously ship new features, and apply modern data engineering practices.
03
Scalable Architecture
We build cloud-native platforms on AWS, Azure, and GCP — supported by tools like Snowflake, Databricks, Kafka, and dbt.
04
Quality & Governance by Default
Through built-in tests, monitoring, and data quality frameworks, we ensure reliability and trust in every dataset.
WORKSHOP · DATA ARCHITECTURE & ROADMAP
CORE CAPABILITIES
Our Capabilities & Technology Stack
We combine modern platform technologies with data governance and robust engineering standards.
Data Platforms & Integration
Modern platforms for scalable, secure, and efficient data processes
METHODS & TECHNOLOGIESEXECUTION MODEL
Our Roadmap Approach
A proven process from the first analysis to production operation.
01
Evaluation & Needs Analysis
Analyzing the current data landscape and defining goals.
02
Source System Analysis & Architecture Design
Assessing source systems and designing the target architecture.
03
Data Pipeline Development & Modeling
Building the pipelines and data models.
04
Governance & Quality Framework
Introducing governance processes and quality checks.
A modern data architecture isn’t an end in itself. It’s the foundation for better decisions.
Christian Lingg
CEO & Co-Founder
YOUR NEXT STEP
Start Your Data Foundation Journey
These examples show how we support you in engineering.
DELIVERY
ON REQUEST
Data Implementation
End-to-end implementation of the data platform
Senior engineering team
Ongoing enablement of your team
Goal: A sustainable, production-ready data platform.
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ASSESSMENT
€5,000
Full Data Assessment
Comprehensive analysis of the data architecture
Maturity assessment & gap analysis
Prioritized Roadmap
Goal: A well-founded basis for decisions.
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DISCOVERY
Free
Data Assessment Light
45-minute introductory call
Initial assessment of your data landscape
No-obligation recommendation of next steps
Goal: Quick orientation, no risk.
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