We design and implement Data Warehouses, ELT/ETL pipelines, and BI aligned with your ecosystem—for reliable dashboards, reporting, and performance monitoring.
Ingest → Transform → Serve
Power BI when Microsoft is in place. Otherwise, lean and scalable open‑source solutions.
With Synbioze and Kelp.io, we provide the DWH + BI layer for advanced automation and predictive AI.
From integration to insight, we cover end‑to‑end.
Lean, scalable foundation tailored to your stack—not the other way around.
Robust patterns, versioned models, testing, and observability.
Clear KPIs, real‑time updates, and strong adoption by business teams.
Since 2019, we design and operate smart, lean, and scalable DWH architectures to support performance and decision‑making.
Power BI when it fits; otherwise, open‑source DWH‑BI stacks for independence and flexibility—meaningful results with controlled budgets.
Robust BI platform for operations since 2019.
Evolutive data warehouse, dashboards for every team.
Partners: Synbioze (automation/orchestration), Kelp.io (advanced AI). We deliver the DWH + BI layer.
Sharp, scalable BI systems delivering the right insights to the right people—at the right time.
We handle both ends: clean, structured data and useful visualizations. No black box. No overengineering.
Dashboards guiding operational and strategic decisions.
Accessible dashboards for every department—core to digital transformation.
AI leaders: Synbioze (AI workflows), Kelp.io (advanced predictive AI). Our dashboards ensure transparency and actionability.
AI without BI is driving blind. We make AI explainable, adopted, and useful.
Clean, enriched DWHs; marts for AI use cases (churn, scoring, recommendations); real‑time and batch pipelines.
AI‑driven marketing
Actionable predictions
Embedded in operations
Tracking, alerts, explanations
A mastered stack for performance, scalability, and cost control.
Our “ultimate” technical stack — a robust Docker infrastructure that auto‑deploys Hop Server, Hop Web, Superset, n8n, and more, via our deployment tools.
A glimpse into recent outcomes.
Streaming ingestion + ML forecasts → 22% fewer stock‑outs.
Unification + automated validations → reporting cycles −60%.
Governed metrics + RBAC → adoption x3.
Typically within 1–2 weeks after discovery. We deliver in milestones so value lands early.
Yes—Snowflake, BigQuery, PostgreSQL, dbt, Airflow, Airbyte, Power BI, Superset/Metabase, and more.
Fixed‑scope delivery or dedicated data teams. We match your cadence.
Tell us about your data context. We’ll propose the simplest path to impact.