Data engineering & analytics
Data engineering and analytics: ETL pipelines, data warehousing, dashboards, and reporting automation. We build the clean, connected data foundation your AI, analytics, and reporting stand on, so every number is trustworthy and current.
Data engineering & analytics, in detail.
Data pipelines & ETL
Move and clean data from every source into one place.
Analytics & dashboards
The numbers that run the business, in one live view.
Reporting automation
Weekly and monthly reports written automatically.
Data warehousing
A single, queryable source of truth for your data.
Straight answers.
What is ETL?
ETL (extract, transform, load) moves data from your sources, cleans and standardises it, and loads it into one place you can report on.
Can you automate our reporting?
Yes. We pull sales, stock, and operations data into one dashboard and generate recurring reports automatically.
Do we need data engineering before AI?
Usually yes. Models are only as good as the data behind them, so clean, connected data is the foundation most AI work needs first.
How much does a data pipeline or dashboard cost?
It depends on how many sources you have and how messy the data is. We scope it in a short Map phase and give you a fixed quote before any build starts.
How long does it take to build a dashboard?
A focused dashboard on clean data can take days; a full pipeline across many sources takes a few weeks. We ship working software weekly so you see progress.
What tools do you use for analytics?
Standard data warehouses and BI tools rather than lock-in, chosen for your stack and budget, with the setup documented and handed to you.
Tell us what's broken.
One call. We'll tell you whether data engineering & analytics is what you need, and roughly what it takes.