Turn Your Data into Decisions with BigQuery and Looker
We build the data infrastructure your company needs to stop working in Excel and start making decisions with real-time information.
Data solutions we implement
Data Warehouse with BigQuery
We centralize all your data in a single place. Sales, marketing, operations, finance. One source of truth, updated in real time.
Data pipelines with dbt
We transform raw data into clean, reliable metrics. Documented, tested and reproducible. Goodbye to Excel files with mysterious formulas.
Dashboards with Looker Studio
Visualizations the team actually uses. Designed for your business, not generic templates. Updated automatically. Accessible from any device.
Alerts and automated reporting
Reports sent automatically to the team every Monday. Alerts when a KPI moves outside the expected range. Without anyone having to remember to check.
Source integration
We connect your ecommerce, CRM, ERP, marketing platforms, social media and any API. Data arrives on its own, clean and ready to analyze.
The tools we use and why
| Tool | What we use it for |
|---|---|
| BigQuery | Google's data warehouse. Scales without limits, pay-per-use, native to Google Cloud |
| dbt | The standard for transforming data in a maintainable, documented and tested way |
| Looker Studio | Dashboards connected to BigQuery. Real time. No extra licenses |
| Metabase | An alternative for smaller teams or lower data volumes |
| Power BI / Tableau | If you're already in the Microsoft ecosystem or the team knows it |
How we removed 8 weekly hours of manual work in retail
A retail company. The operations lead manually consolidated sales, stock and margin data from several systems every week. The process took a full day.
Solution: a BigQuery data warehouse loaded automatically every night from the POS and the ERP. A dbt pipeline that unifies and cleans the data according to business logic. A Looker Studio dashboard with the previous day's data every morning, and a weekly report on Mondays at 7am.
Result: 0 manual reporting hours. The team sees yesterday's data every morning. Strategic analysis time went from 0 to 4 real hours a week.
Read the full caseCompanies that benefit most from our data work
- Ecommerce with multiple sales channels
- Logistics companies with dispersed operations
- SaaS and fintech with product and business metrics
- Mid-sized companies that have grown faster than their data infrastructure
- Analytics teams that spend more time cleaning data than analyzing it
Do you really know what's happening in your business?
Leave your email and we'll arrange a free consultation about your data situation. We'll tell you what data you have, what you're missing and what can be done with it.
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