What we use with clients, open even if you never hire us.
These materials come from real projects: the same criteria, templates and comparisons we use when we work. Free, no sponsors, and no data required to use them.
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Comparison · Article
Power BI vs Tableau vs Looker in 2026: how to decide without an agenda
We do not sell licenses. This is the honest comparison we give clients who ask "which one should I use". It depends on five concrete questions.
In progress
- 01
PDF Guide · Coming soon
Cloud-native data architecture for mid-sized companies
The modern stack explained without jargon: ingestion, lake-house, dbt modeling, BI and ML. Critical decisions and common mistakes we see in LATAM.
Meanwhile: Lakehouse in LATAM: Snowflake, Databricks or BigQuery
- 40 pages with C4 diagrams
- Snowflake vs Databricks vs BigQuery comparison
- ADR (Architecture Decision Record) template
- Phased migration checklist
- 02
Checklist · Coming soon
30 questions before investing in AI
If your organization is exploring AI, this checklist tells you what to answer before signing contracts or hiring vendors.
Meanwhile: AI agents in production: guardrails, evals, and when NOT to use them
- Real use cases with measurable ROI
- Model, data and operational risks
- Cost estimate beyond licenses
- Criteria for evaluating AI partners
- 03
Program · Coming soon
Power BI curriculum from zero
The curriculum we use in corporate training, open and downloadable. So your team can prepare or you can build your own path.
- 6 progressive modules
- Real practice datasets
- Exercises and projects at the end of each module
- Bibliography + complementary courses
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