Data engineering
ETL/ELT pipelines, source integration and quality validation.
Data & BI
Connect fragmented sources and build dependable pipelines for analysis, reporting and decisions based on shared data definitions.

For teams preparing reports manually or getting different numbers for the same metric.
ETL/ELT pipelines, source integration and quality validation.
Models and metrics defined with the business, traceable to their sources.
Scheduled updates, reconciliation and alerts for incomplete data.
We review website or store data to identify patterns, drop-off points and opportunities for improvement. Findings become recommendations and priorities for action.
ARS MAGNA
We select a priority decision or report, review sample sources and establish the required freshness and quality.
How we work ↗A question worth asking
Not necessarily. We evaluate existing sources and tools before proposing a new platform.
We inventory the sources and agree on definitions for each metric. Then we establish how to combine, clean and refresh the data while preserving traceability to its source.
Yes. We choose a business decision and a priority report. We agree on sources, update frequency and how to validate the numbers before expanding the work.
We develop websites, mobile apps and custom systems, and set up online stores and content platforms. Together, we assess what to configure, integrate or build for your business.
Explore the service: Custom software ↗Connect applications and remove duplicate entry across email, spreadsheets, CRM, ERP and online stores.
Explore the service: Automation & integrations ↗Understand what is failing, stabilize what matters and build a modernization path that preserves what works.
Explore the service: Software rescue ↗Contact
Tell us about your idea, a process that takes too much time or a system that needs help. We can start with one part.
Tell us what you need to solve