Data integration pulls data out of your systems, transforms it and loads it where it is needed. No more exports, no copy-paste into Excel, and figures you can trust every morning.
Bringing data from different systems together, so it is the same everywhere and fits in one overview. Orders from the webshop, stock from the WMS and revenue from accounting are fetched, checked and passed on automatically, without anyone making an export.
Every Monday someone exports three files, pastes them into Excel and fixes the columns that do not line up. By the time the report is done, the figures are a week old.
A pipeline fetches the data itself, checks it and puts it where it belongs, every night or every quarter of an hour. The overview is ready before you start work.
Four situations where data integration saves the most time and the most errors.
Not every data problem needs custom work. This is how to choose the route that fits.
A pipeline is only done when you still trust it blindly a year from now.
A WMS for a logistics company, where orders and stock sync with the ERP automatically.
Logistics · warehouse management system
Orders sync with the ERP automatically and stock flows back to accounting. No double entry, and no more spreadsheets drifting out of step.
Read the caseRunning on spreadsheets? Read how to replace Excel with custom software.
Four steps, from the first inventory to a pipeline that runs on its own.
We look at the sources, who processes the data today and where it goes wrong. You hear from us within one business day.
For each data flow we decide which system leads, how the transformation works and which checks every run must pass.
The pipeline first runs alongside your current way of working, so you can compare the output before you rely on it.
The pipeline runs on schedule with logging and alerts. After that we stay your point of contact for maintenance and changes.
Say a wholesaler receives price lists from twenty suppliers, each in its own format. Instead of someone reworking them in Excel every week, a pipeline picks up each file, converts it to one format, checks for odd prices and updates the webshop and ERP. The same idea applies to nightly stock syncs or a sales report that builds itself.
An API integration connects two systems so they exchange data directly, usually per order or per change. Data integration is broader: pulling data from several sources, cleaning, combining and loading it, often in batches and also when a source has no API. In practice we often use both.
It depends on the number of sources, the quality of the data, how often it must be refreshed and how much cleaning is needed. Two tidy sources merged every night is straightforward; ten sources with different formats takes more. After a first conversation you get an estimate for your situation.
We only extract the fields that are actually needed, data travels encrypted and access is limited to those who need it. Where we process personal data on your behalf, we record that in a data processing agreement.
Every run checks the data before it is loaded. A record that fails is set aside and reported instead of silently overwriting something, so you see the problem before it reaches your books.
You do. The data stays in your own systems, and you get the source code and documentation of the pipeline, so you are not tied to us.
Tell us which exports and retyping cost time today. Within one business day you hear how data integration would take it over.
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