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Datasium

Technologies

A modern data stack, built for your decisions.

Datasium relies on industry standards — the ones used by the best data teams in the world. Your infrastructure is robust, scalable and reversible.

  • Power BI
  • Google Cloud
  • BigQuery
  • dbt
  • Apache Airflow
  • Tableau
  • Python
  • SQL
  • scikit-learn
  • Git

Reference architecture

Your data's journey, from source to decision.

Each project adapts to your context, but builds on this proven architecture — the Modern Data Stack.

  1. 01

    Sources

    ERP, CRM, Excel files, APIs, SaaS tools, business databases.

    SQL · Python

  2. 02

    Ingestion & orchestration

    Automated, scheduled extraction — monitored and re-runnable.

    Apache Airflow · Cloud Composer · Python

  3. 03

    Data warehouse

    Centralised, scalable and secure cloud storage.

    Google Cloud · BigQuery

  4. 04

    Transformation & modelling

    Tested, documented and versioned models: one source of truth.

    dbt · SQL · Git

  5. 05

    BI & steering

    Dashboards and KPIs shared across the organisation.

    Power BI · Tableau · Looker Studio

  6. 06

    AI & machine learning

    Forecasts, anomaly detection and intelligent automation.

    Python · scikit-learn · pandas

Business Intelligence

Clear, fast dashboards adopted by business users.

  • Power BIBusiness Intelligence
  • TableauBusiness Intelligence
  • Looker StudioBusiness Intelligence

Cloud Data Platform

A managed, secure platform that scales.

  • Google CloudCloud
  • BigQueryCloud
  • Cloud ComposerOrchestration

Data Engineering

Reliable, tested and orchestrated pipelines.

  • dbtTransformation
  • Apache AirflowOrchestration
  • SQLLanguage
  • GitEngineering

Data Science & AI

From prototype to production model.

  • PythonLanguage
  • pandasData Science
  • NumPyData Science
  • scikit-learnData Science

Expertise

Beyond tools, know-how.

Data Engineering

Ingestion pipelines, data quality, orchestration.

ETL / ELT

Extract, load and transform in the warehouse with dbt.

Data Warehousing

Dimensional modelling and BigQuery warehouses.

Business Intelligence

Semantic models, DAX, decision-oriented visualisation.

Machine Learning

Regression, classification, time series, anomaly detection.

Artificial Intelligence

LLMs, AI agents and business-process automation.

Our technical principles

01

Open standards

No in-house proprietary tooling: you can switch providers at any time.

02

Everything versioned

Code, transformations and configuration in Git: every change is traceable.

03

Tested quality

Automated data tests catch anomalies before they reach a dashboard.

04

Controlled costs

Architecture sized to your real volume, optimised cloud billing.

Let's talk about your data.

In 30 minutes we'll pinpoint where your data can create value and the most profitable first step. No commitment.

  • Assessment of your current situation
  • 2–3 concrete quick wins
  • ROI and timeline estimate
Book a discovery callWrite to us

30 min · free · no commitment