Metsähallitus sped up its everyday data management with DSharp Studio

Most of the effort in data work isn't the interesting part — it's the repetitive mapping, defining, and rewriting that fills the day. Take that away and everyday data management changes character entirely.

The challenge

Metsähallitus's data team spent too much of its time on hand-built, repetitive work: mapping sources, defining fields, and writing transformations again and again for each new need.

What they did with DSharp

With DSharp Studio, that work moved into the model. Structures are generated from the model as standard, tested code — so the team defines concepts once and lets the software produce the rest, instead of writing it by hand every time.

The outcome

A clear improvement in everyday data management. Repetitive effort dropped sharply, and the team's time shifted from rebuilding pipelines to the work that actually moves the organization forward.