Client project · Industry · Completed
Industrial company
A data platform as the foundation for data science
Data science only works on a clean data foundation. In workshops with the team we developed a data architecture concept that future data science applications will build on.
Starting point
The company wanted to use its data for data science applications. The ideas were there, but the foundation was missing: a shared architecture that brings data from different sources together and provides it reliably.
Without that foundation, every analysis becomes a one-off with its own data export and preparation. That is laborious, error-prone and does not scale.
What we did
- Workshops with the team on goals, data sources and requirements, so the concept builds on the company’s real questions.
- Existing data sources and data flows mapped: which data exists, where does it live, and how does it come together today?
- Target architecture designed for a data platform that provides data centrally, traceably and in reliable quality.
Outcome
A data platform concept that shows how data is brought together, stored and provided for data science applications.
The company now has a clear basis for the next steps. Because the concept was developed in workshops with the team, it is also supported internally.
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