Services
From data strategy to AI in production.
Six complementary services covering the entire data value chain. Use them individually or combine them in an end-to-end project.
Data Audit & Strategy
Know where to invest before you spend.
The problem
You sense your data could create more value, but don't know where to start or what budget to allocate.
What you get
- A clear view of your data maturity
- Use cases prioritised by ROI
- A realistic, costed roadmap
Deliverables
- 01Map of sources and flows
- 02Value / effort matrix of use cases
- 03Target architecture and action plan
Technologies
Google Cloud
Power BISQLData Engineering & Cloud Data Platform
Reliable foundations for every analysis.
The problem
Your data is scattered across ERP, CRM, spreadsheets and SaaS tools. Every analysis starts with hours of manual preparation.
What you get
- A single source of truth in the cloud
- Automated, tested and monitored pipelines
- Fresh data, available on schedule
Deliverables
- 01ETL / ELT ingestion pipelines
- 02BigQuery data warehouse modelled with dbt
- 03Airflow / Cloud Composer orchestration
- 04Data-quality tests and documentation
Technologies
Google Cloud
BigQuery
dbt
Apache Airflow
PythonSQLBusiness Intelligence & Performance Management
The right metrics, for the right decisions.
The problem
Your dashboards are slow, disputed or unused. Leadership meetings spend more time debating numbers than deciding.
What you get
- Shared, unambiguous KPIs
- Fast dashboards people actually use
- Real-time visibility on performance
Deliverables
- 01Validated KPI dictionary
- 02Optimised semantic model (DAX, Power Query)
- 03Power BI or Tableau dashboards
- 04Governance and access rights
Technologies
Power BI
Tableau
Looker StudioSQLBigQueryAutomation & Agentic AI
Give your teams their time back.
The problem
Repetitive tasks eat hours of your teams' time every week: re-keying, checks, consolidations, follow-ups.
What you get
- Hours saved every week
- Fewer human errors on critical processes
- Smart workflows that run on their own
Deliverables
- 01Automated Python scripts and workflows
- 02AI agents embedded in business processes
- 03Automatic quality checks
- 04Monitoring and alerts
Technologies
PythonGoogle CloudApache Airflow
pandasMachine Learning & Predictive Analytics
Anticipate instead of react.
The problem
You steer through the rear-view mirror. Sales, consumption, maintenance or risk forecasts all rely on manual estimates.
What you get
- Reliable, explainable forecasts
- Early anomaly detection
- Quantified gains: costs, energy, inventory
Deliverables
- 01Feasibility and ROI study
- 02Trained and evaluated predictive models
- 03Production deployment and monitoring
- 04Results surfaced in your dashboards
Technologies
Python
scikit-learnpandas
NumPyBigQueryTraining & Ongoing Support
Autonomous teams, a lasting data culture.
The problem
The tools are in place, but adoption lags. Your teams depend on one person or a vendor for every change.
What you get
- Teams autonomous on their tools
- A data-driven decision culture
- A solution that keeps evolving
Deliverables
- 01Tailored Power BI, SQL and Python training
- 02Data & AI literacy for leadership
- 03Evolutive maintenance and support
- 04Quarterly performance reviews
Technologies
Power BISQLPython
GitEngagement models
Three ways to work together.
Scope and budget are agreed in writing before any work starts. No surprises, no unapproved overruns.
Start with zero risk
Flash Assessment
A focused audit to identify where your data can create value and build the roadmap.
- Fixed price
- 2 to 4 weeks
- Actionable deliverable, even if we stop there
For a precise objective
Fixed-scope project
Data platform, dashboards or automation: one scope, one price, one delivery date.
- Outcome commitment
- Iterative delivery
- Knowledge transfer included
To keep your platform moving
Ongoing partnership
A part-time data expert who evolves your tools and strategy month after month.
- Reserved monthly days
- Priorities set with leadership
- No long lock-in
FAQ
What leaders ask us most often.
Do you work with SMEs that have no data team?
Yes — that's the core of Datasium's mission. I handle the whole chain, then train your teams so they're autonomous day to day.
How much does a data project cost?
It depends on scope. A flash assessment is fixed-price over a few weeks; a dashboard or platform project is precisely quoted after the discovery call. The budget is always agreed in writing before starting.
How soon will we see results?
A first usable version is usually delivered within 2 to 6 weeks. The iterative approach lets you measure value from the first releases.
Does my data stay under my control?
Always. The infrastructure is deployed in your cloud accounts, you own the code and everything is documented. No proprietary lock-in.
Can you take over an existing project or dashboards?
Yes. I audit what exists, fix what needs fixing and evolve the solution rather than rebuilding everything.
Do you work on-site?
I'm based in Châlons-en-Champagne and work on-site in Reims, Épernay and the Grand Est region. Elsewhere in France and abroad, engagements run remotely with occasional travel when needed.
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
30 min · free · no commitment