OPENXEL Data · data engineering
Data engineering: the layer the model actually reads
Bought by the Head of Data. The model is fine — the data underneath it is in six systems, three of them legacy, none of them contracted.
The failure
What goes wrong here
The model is fine. The data is in six systems, three of them legacy, none of them contracted, and nobody agrees what the field means.
The pilot ran on an extract someone built by hand, and production cannot. There is no pipeline, no retrieval path, and no owner for what a field means.
What we build
- Pipelines with contracts on the fields that matter
- Retrieval and context paths designed for the question being asked, not for a demo
- Lineage from the answer back to the row it came from
- Migration off legacy stores while those stores keep serving
- A named owner for the meaning of every contracted field
The artifact
What you keep
A data contract and pipeline specification your team owns and can extend without us.
Adjacency
What ships beside it
A provisioned data layer and the architecture that serves it are one piece of work, not two procurements. See system architecture.
Send us the problem
Describe what is stuck. We will come back with an architecture, a timeline and the first commit.