The sign you need it
You don't need an analysis to spot it. If any of these phrases got said in your company this week, it's an integration problem:
- "I have that data, but it's on another screen."
- "The sales report and the billing report don't match, I don't know which one to trust."
- "Marta keeps that in her own spreadsheet."
- "It has to be entered twice, in the CRM and in the ERP."
- "The month's numbers close on the 15th of the next one."
Each of those phrases has a cost in hours, and a bigger one in decisions made late or blind.
What we do
Connect the systems
We integrate with SAP, Microsoft Dynamics Business Central, Odoo, Sage, Holded and undocumented in-house builds. When there's an API, we use it. When there isn't, we work against the database, with intermediate files, or by automating the interface itself. There's almost always a way in.
Unify the data model
Connecting isn't enough if every system calls the same thing something different. We define with you what a customer is, what an order is, and what counts as a closed sale, and that agreement gets written into the model. It's the least glamorous part of the project and the one that saves the most arguments later.
Sync without duplicating
Every piece of data has one system of record and the rest consume it. That ends double entry — and with it, the question of which of the two versions is the right one.
Put reporting on top
Once the data is unified, dashboards stop being an act of faith. We build what you need on Power BI, Metabase or whatever you already use, with the numbers updating themselves.
This is usually the phase that comes before any AI project that hopes to actually work. A model fed contradictory data produces contradictory answers — very convincing ones.
How we handle legacy systems
The legacy ERP nobody wants to touch is the norm, not the exception. We don't propose replacing it: we propose working around it. We pull out what the rest of the company needs and feed back in what has to go in, without touching its internal logic or putting what already works at risk.
When the system has no clean way out, we build a middle layer that reads from the database with read-only permissions and publishes the data already normalized. The ERP never knows, and the rest of the company stops depending on exporting to Excel.
What you walk away with
- The integrations deployed and monitored
- A common data model, agreed and documented
- Reporting that updates without manual work
- A data dictionary: what each field means and where it comes from
- 90 days of support after launch
How long does an integration project take?
Connecting two systems with an available API can be done in three or four weeks. A project that unifies ERP, CRM and warehouse under a common model runs between two and four months. It's delivered in phases: the first integration is in production long before everything else is finished.
Is it safe to connect the ERP to other tools?
It is if it's done with minimal permissions and full traceability. We work with read-only users wherever reading is enough, credentials separated per integration, and a log of everything that gets written. Nothing goes live without your systems lead reviewing the access.
Do I need a data warehouse?
Depends on the volume. Many mid-sized companies are solved with direct synchronization between systems and a small intermediate database. A full data warehouse makes sense when there's a large history or many sources; otherwise it's cost and maintenance you won't get a return on.