All your information in one place
A corporate Lakehouse that integrates your sources into a governed, easy-to-query platform.
Communication and data
Data Analytics and Big Data
Turn your data into decisions
Data Analytics and Big Data tailored to your business
Your company generates data in the ERP, invoicing, spreadsheets and plant equipment, but every report takes days, the numbers don't match across departments and the same questions get answered by hand again and again.
We design, build and put data platforms into production: a corporate Lakehouse that brings all your information together in one place, a data warehouse with comparable KPIs, business intelligence dashboards and artificial intelligence agents that answer questions in natural language with the figure and its source. All on your own infrastructure, in the cloud or in a hybrid model, with open formats and no licensing per user, per query or by volume.
The result: governed, reliable information available to make timely decisions, with the code delivered to your repository and an in-house team trained to run it.
Benefits
What your business gains
Comparable KPIs
A dimensional model with a data dictionary, lineage and data marts by department.
Applied artificial intelligence
Agents that answer in natural language and predictive models such as demand forecasting or anomaly detection.
No vendor lock-in
Open formats (Apache Iceberg on Parquet) and no licensing per user, query or volume.
Data governance and protection
Catalog, quality rules, role-based access and sensitivity classification in accordance with Law 1581 of 2012.
Progress from the first month
Early deliverables, code in your repository and knowledge transfer to your team.
Our work begins where the report ends: we build the platform that answers, not the report that gets requested again the following month.
Service scope
- Automated read-only ingestion from SQL Server, Oracle, PostgreSQL, MySQL, APIs, files and Excel
- Corporate Lakehouse and data warehouse with data marts by department
- Business intelligence dashboards in Power BI, Apache Superset or Metabase
- AI models: demand forecasting, anomaly detection and predictive maintenance
- Local AI on your servers for sensitive data, or commercial AI with aggregated data only
- Data governance: committee, catalog with lineage, quality rules and role-based access
- Deployment on your servers, in the cloud or hybrid
- Code delivered to your repository and knowledge transfer
How we deliver it
- 1
Data assessment
We identify your sources, the business questions that matter and the quality of the available information.
- 2
Core platform
We set up automated ingestion and the Lakehouse, with data governance from the first month.
- 3
KPIs and dashboards
We build the dimensional model, the KPIs and the dashboards for each department.
- 4
AI and knowledge transfer
We put validated AI models and agents into production and train your team to run the platform.
Frequently asked questions
Your questions answered
Do I need large volumes of data to get started?
No. We work with companies whose information is currently scattered across systems and spreadsheets. We start with the business questions that matter most, and the platform grows as data and needs increase.
Does my information leave the company?
Not necessarily. The platform can be deployed on your own servers, in the cloud or in a hybrid model. For sensitive data we use local AI models, and commercial AI services only receive aggregated data, under a written usage policy.
What visualization tools do you use?
We work with Power BI, Apache Superset and Metabase, among others, depending on what your company already uses or prefers.
Which industries does it apply to?
Agribusiness and food, manufacturing, mining, retail and distribution, services and healthcare, and trade associations and the public sector, among others. In healthcare, for example, for operational and timeliness KPIs, regulatory compliance and cost per service delivered.
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