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
A data contract and pipeline, with lineage Six source systems, three of them legacy, feed a data contract that names the owner of each field. The contract feeds a pipeline, then a retrieval path, then an answer. A lineage line runs from the answer back to the source row it came from. six systems · three legacy CRM ERP · legacy POS Billing · legacy Warehouse Files · legacy data contract owner named per field Pipeline contracted fields only Retrieval built for the question The answer traceable to the row lineage — every value walks back to the row it came from
A contract is a gate, not a document. Only contracted fields pass, every field has a named owner, and the answer at the end walks back to the row it came from.
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.