01 · Data and artificial intelligence
Power BI
Executive dashboards showing what moves your business, with current information and the detail available the moment someone asks.
Explore the serviceData and artificial intelligence
Your data is already stored. The problem is you cannot use it
Most companies do not have a data problem: they have a problem of scattered, duplicated and stale data. We gather what exists, clean it, and turn it into something you can decide with.
The information exists, but nobody can query it
Sales in the store, inventory in the ERP, customers in the CRM, expenses in accounting and movements in loose files. Every figure has its own version, and answering a simple question means requesting three files from three people and waiting two days.
Data and artificial intelligence
Big data & analytics
Request a proposalSee servicesBack to the home pageWhat we build
Source integration
We bring data from systems, files and external services into a single model, with clear precedence rules when they disagree.
Data quality and governance
We detect duplicates, incomplete records and inconsistencies, and define who owns each field. Without clean data, any analysis is a guess.
Analytical models
Groupings, segments, trends and relationships that answer concrete questions about your business, not a decorative map.
Processing at scale
Pipelines able to handle high volumes continuously, not just one-off loads someone runs by hand.
How we do it
- 01
Data source inventory
We list what data exists, who owns it, how often it changes and how much it can be trusted.
- 02
Unified model
We define how your business entities relate to each other and which system wins when they disagree.
- 03
Pipeline and quality
We build the process that loads, transforms and validates data, with monitoring and failure alerts.
- 04
Models and access
We build the analyses you need and make them available in tools your team already knows how to use.
What changes in your operation
- Questions that used to take two days get answered in seconds.
- One single figure per indicator that everyone agrees on.
- Decisions backed by the real behaviour of your business.
Technologies
- Python
- PostgreSQL
- Apache Spark
- dbt
- Airflow
Frequently asked questions
What they usually ask before we start
How much data do we need for this to be worth it?
Size is not the point. What matters is that information is scattered and that you want to make a better decision. In many cases, simply organising a few million records already changes business decisions completely.
Do I need to hire a data team?
Not necessarily. We leave the processes documented and the information accessible to your team. If volume or experience later justify it, you can grow that team without changing the infrastructure.
What about my customers' personal data?
It is handled under Colombian data protection law. We define with your team what is collected, who can access it and how it is deleted, and the design accounts for it from the start.
Tell us what you need to solve
We bring together and clean the data you have scattered, and turn it into information you can decide on, not just report on.