What we mean by data solutions.
Collecting data from systems that were not designed to talk to each other, turning it into a consistent form, and putting it where it can be queried. Plus the processes that run periodically and need to finish before someone looks at the result.
The part people underestimate comes afterwards: when a number does not add up, you need to trace where it came from and what happened to it along the way.
It is useful when the data already exists, but lives in different places and formats.
The technologies we work with
The technologies we work with
When we do not use it
When we do not use it
When there is only one question and it does not change. If you need a number, extract the number: building infrastructure to answer one question is an investment that pays off only when questions become numerous and recurring.
And when the real problem is that the data does not exist, or is wrong at the source. No pipeline fixes data that starts out wrong.
What we have used it for
What we have used it for
BuildEV Charging
Plenitude on the road — charging network infrastructure.
6 yearsActive
The way we work is the same across technologies: peer review before release, separate environments, and automated pipeline checks. How we work