Efficient Data Management in 6 Months

How Controlware GmbH — one of Germany's leading IT service providers — built a fully automated data warehouse with a team of 3 using Datavault Builder. Near real-time reporting, automated CI/CD pipelines, and a foundation ready for AI and machine learning.

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3 Months First use case in production
6 Months Full DWH operational
1 Person Initial team size

The challenge

Controlware GmbH operates across Germany with approximately 1,000 employees and over €400M in revenue. Despite using Qlik for analytics, they had no central data warehouse and no consolidated data foundation.

The main pain points:

No central data warehouse — departments worked in silos
Slow, manual data preparation consuming valuable analyst time
No standardised approach to data integration across business units
Growing demand for near real-time reporting and AI/ML capabilities

The result

With Datavault Builder, Controlware achieved:

First use case live in 3 months — immediate business value
Full DWH operational in 6 months — built by a team of just 3
Near real-time reports — all departments on the same data foundation
Automated CI/CD pipelines — Git-based, dev/test/prod environments
AI/ML-ready data platform — governed, historised, and documented
GDPR compliance — built-in lineage and audit trails

Controlware success story — Efficient Data Management in 6 Months

What impresses me most about the Datavault Builder is its end-to-end approach, which covers every step from modelling to deployment — and all with an intuitive interface that makes the learning curve surprisingly flat.

Sven Büttner Business Data Scientist Controlware GmbH