Data engineering
Your data gathered, clean and ready to use
We bring together in one base the data that is now spread across systems, files and spreadsheets. We clean it, organize it and keep it up to date for your dashboards, reports and agents.
What it solves
- Data spread across systems, files and spreadsheets.
- Duplicates, mismatched formats and empty fields nobody fixes.
- Reports that take days because everything has to be gathered and cleaned first.
- History that is lost when a tool changes.
Which sources we bring together
Each source is read through its API or the most reliable route it has, automatically.
- Sales and point of sale
- CRM and sales pipeline
- Payments and invoicing
- Accounting
- Inventory
- Meta Ads and Google Ads campaigns
- Forms and surveys
- Spreadsheets and files
- WhatsApp and AI agent conversations
What we build
- 01
Source extraction
We pull data from each system automatically and on a schedule, with no manual exports.
- 02
Cleaning and modeling
We unify formats, remove duplicates and organize everything into a model your team understands.
- 03
A central base
The data lives in a base of your own, with its history, ready to query.
- 04
Monitored quality
Automatic checks alert us when data arrives incomplete or out of range.
Examples of what you can do with the combined data
Sales from every location
in a single table, in the same format, comparable day by day and against the previous year.
Ad spend
matched with the sales each campaign generated, to know what a customer really costs.
The same customer in several systems
merged into a single profile, with their full purchase and conversation history.
Data from a system about to be replaced
kept in the central base, so the history isn't lost when the tool changes.
The AI agent's conversations
turned into data: what people ask most, what gets booked and what gets lost.
What your company gains
One version of the numbers
Every area looks at the same data, calculated the same way.
Reports in minutes
What now takes days to gather and clean is ready and up to date.
History that isn't lost
Even if a tool changes, data from previous years stays available.
A foundation for AI
Organized, reliable data so dashboards and AI agents answer with real information.
See it working
Business intelligenceA BI dashboard connected to sales, in real time
Sales from six locations in one place, with filters, comparison against the previous period and each sale coming in live.
Explore the live dashboardHow we work
In stages, with deliveries you can verify
- 01
Assessment
We learn the operation, the systems already in place and the outcome that needs to move. The result is a written scope.
1 to 2 weeks. You receive a scope document with priorities, stages and a quote.
- 02
Staged build
We deliver in parts. Each delivery is checked against an agreed criterion before moving on to the next.
A delivery every 2 to 3 weeks, each with its acceptance criterion and a demo.
- 03
Operation and support
After launch we keep measuring, fixing and tuning the system together with your team.
Monthly support: monitoring, adjustments and a report on what improved.
FAQ
Do I need a dashboard to benefit from this?
Not necessarily. The base feeds dashboards, but also reports, gives an AI agent the information it needs or connects other systems.
Where is my data stored?
On cloud infrastructure from well-known providers, encrypted and accessible only to those who need it. The terms of each project are agreed in writing.
What about historical data?
We bring it in too, when the source allows it. That way you can compare against previous months or years from day one.
Where is your data today?
Tell us which systems and files you use and what you want to measure. With that, we prepare the discovery.