Data Engineering & Modelling
One version of the truth, and the model to prove it.
Data models, pipelines and reporting that turn scattered operational data into numbers leaders can trust.
Capabilities
What we deliver.
Data modelling
Conceptual, logical and physical models, including spatial and network models, that survive real use.
Pipelines & integration
Batch and streaming pipelines with validation, lineage and alerting.
Warehousing & lakehouse
Azure Synapse, Fabric or PostgreSQL, sized to the question.
Reporting & BI
Power BI and embedded dashboards built on governed measures.
Master data
Customers, products, sites and assets reconciled across systems.
Data migration
Profiling, cleansing and reconciliation so cut-over is uneventful.
Tools & standards
Proven, supported technology.
We choose mainstream, well-supported tools so the solution outlives the project and your own team can run it.
Proof, in production
Where we already practise it.
These Alexon platforms are built with this discipline and are running today.
Billing & financial management
Every number in its place, and the story behind it.
See Ledgerly
Fraud & risk intelligence
Every transaction, customer and signal in one living risk record.
See Sentriq
Warehouse, stockpile & weighbridge
Every tonne accounted for, from the deck to the ledger.
See QuorixOther disciplines
What does a typical Data & Modelling engagement look like?
Every engagement follows the same four steps: discover (weeks 1–2), design (weeks 2–4), build and prove with working software every sprint (weeks 4–8), then run and improve.
Which technologies do you use?
We choose mainstream, well-supported tools so the solution outlives the project, including PostgreSQL, PostGIS, SQL Server, Azure Data Factory, Microsoft Fabric, Power BI, dbt, Python.
Where have you already applied this?
In our own platforms running in production today, including Ledgerly, Sentriq, Quorix.
Can you work alongside our own team?
Yes. We can lead delivery end to end, or work alongside your engineers and hand over with documentation, so your team can run and extend what we build.
Bring us the hard part.
Tell us the outcome you need. We will come back with an approach, a team and a first milestone you can hold us to.