Data pipelines & cleanup
Getting your data into one reliable place, in one consistent shape.
This is the unglamorous work that everything else on this page quietly depends on, and it is the item most often skipped.
A pipeline collects your data on a schedule, fixes the predictable problems — the same customer spelled three ways, four date formats, prices stored as text — and puts the result somewhere stable that everything else reads from.
It is boring and it is usually the highest-value project on the list. Automation built on messy data automates the mess. A prediction model trained on it learns the mess. A dashboard makes the mess look authoritative, which is arguably the worst outcome of the three.
"Ali Trading", "Ali Trading Sdn Bhd" and "ali trading s/b" are three customers as far as your system is concerned. Every report starts with half an hour of tidying, and two departments quote different revenue for the same month.
One customer, one record, one number. The tidying stops happening because there is nothing left to tidy, and the arguments about whose figure is right stop with it.
How we actually build it
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01
We find where the truth lives
Usually several places that disagree. Deciding which one wins is a business decision, not a technical one, and you make it.
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02
We fix the predictable problems
Deduplicate, standardise, validate. The rules are written down, so you can see exactly what was changed and why.
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03
We schedule it
Nightly is right for most SMEs. It runs, it logs, and it tells someone if a source stops arriving.
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04
We leave one place to read from
Everything downstream — reports, models, automations — points at the same table. Reports stop disagreeing with each other.
- The same customer exists three times, spelled differently
- Your data lives in five places and none of them agree
- Every report starts with half an hour of manual tidying
- One small spreadsheet that one person maintains. Not worth the machinery
- The mess is a process problem — fix how data is entered before automating around it
- Read access to each source system
- Someone who can settle which source wins when they disagree
2–4 weeks, depending on how many sources and how bad the mess is.
What people ask about this
Can we skip this and go straight to the AI part?
Sometimes. Often it is why the AI part underperforms. We will tell you honestly which situation you are in — it is not in our interest to sell you a model that will disappoint.
Where does the data live afterwards?
Wherever you want it — your own server, your existing database, or a managed one. It stays yours either way.
Often paired with
Would this work for you?
The first call is free, and we will say plainly if this is the wrong tool for your problem.
Book a free call