Service
Data Engineering
Pipelines, platforms and data models your team can trust — the layer every report, model and planning tool stands on.
The problem we solve
Most data problems look like model problems from the outside. Forecasts drift, dashboards disagree, and AI pilots stall — usually because the data underneath is late, inconsistent or nobody is sure where a number came from.
We build the data layer so that stops happening: tested pipelines, a model of the business people agree on, and the monitoring to know when something changes. It’s the same foundation our own products run on.
What’s included
Where we help
Ingestion & change data capture
Reliable feeds from ERP, WMS, POS, files and APIs — handling late data, schema drift and reprocessing without drama.
Lakehouse & warehouse design
Storage and table design sized to your data and budget, not to a vendor’s reference architecture.
Data modelling
Clean, documented models of the business — products, locations, orders, inventory — that analysts and models share.
Quality, lineage & governance
Tests on the data, lineage you can follow, and ownership that is clear before something breaks.
How we work
From a hard decision to a system your team runs.
- STEP 1
Bring us the decision you can’t make well yet.
A forecast nobody trusts. Stock in the wrong places. A plan that lives in a spreadsheet. We start with a short diagnostic of your data and process.
- YOU
- The problem, and the people who own it
- WE
- Assess data, process and quick wins
- OUT
- A written plan and a scoped first release
- STEP 2
We build it with your team, in small releases.
Data foundation first, then models, then the screen planners use. Every increment is something you can run and judge — not a slide.
- YOU
- A planner and a data owner, a little time each week
- WE
- Pipelines, models and the planning tool
- OUT
- Working software at every step
- STEP 3
Your team runs it. We keep it sharp.
You own the plan and the decisions. We watch the models, retrain as demand shifts, and change the system as your business does.
- YOU
- Day-to-day planning
- WE
- Monitoring, retraining, improvements
- OUT
- A system that stays accurate
Start small
One decision, one data source.
A focused diagnostic and first release. See what’s possible with your own data before committing to more.
Start with a diagnostic →Go end to end
Demand through supply.
Data platform to planning tool, scoped as a programme and built and run with your team.
Talk about a bigger project →Other services
Also from Baramind
Data Science
Forecasting, optimisation and machine learning that survive contact with production — tested, monitored and explainable to the people who rely on them.
Supply Chain Planning
End to end: demand, inventory, supply and S&OP. We design the process and build the tooling together, so the plan and the system that produces it actually match.